Bag of Words Hyper-Intelligence SEO For Keyword Targeting

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In the competitive landscape of search engine optimization (SEO), leveraging advanced analytical techniques can significantly enhance your keyword targeting strategy. One such technique is the Bag of Words (BoW) model, a foundational concept in natural language processing that simplifies text into a collection of individual words or tokens, while disregarding grammar and word order. This model transforms text into quantifiable data, allowing for in-depth analysis of word frequency and relevance. By applying the Bag of Words model to SEO, you can uncover valuable insights into keyword usage, content gaps, and competitive positioning, enabling you to refine your content strategy and improve your search engine rankings with precision.

Bag of Words and SEO Advanced Analysis Techniques for Improved Keyword Targeting

Objective and Purpose of the Project

The objective of this project is to provide an in-depth analysis of website content by identifying and highlighting significant keywords. This analysis is designed to help website owners optimize their content for enhanced search engine rankings, driving increased traffic and boosting overall SEO performance. The primary purpose of this initiative is to scrutinize the textual content of websites to pinpoint the most frequently used and impactful keywords. By doing so, our advanced tool from ThatWare enables website owners to assess which keywords are being emphasized and determine if these align with their broader SEO strategy. This valuable insight facilitates targeted content optimization, ultimately improving search engine visibility and attracting more relevant traffic.

Bag of Words (BoW) Concept

Understanding the Basics

The Bag of Words (BoW) model is a fundamental technique in natural language processing (NLP) and text analysis. It operates on the principle of representing text data in a simplified manner by breaking it down into individual words or tokens. Unlike traditional methods that consider the grammatical structure and order of words, BoW focuses solely on the frequency of each word’s occurrence. This approach converts text into a set of word counts, allowing for quantitative analysis.

Key Features of BoW

Tokenization: The first step in the BoW model is tokenization, where text is split into individual words or phrases. This process breaks down sentences into manageable units for analysis.

Frequency Count: Once tokenized, the BoW model counts the frequency of each word across the text. This count provides insights into which terms are most prevalent and potentially significant.

Vector Representation: The model then represents the text as vectors based on these word frequencies. Each document is converted into a numerical format that can be analyzed and compared.

Analyzing a Website for SEO

Identifying Key Content Areas

To effectively analyze a website for SEO, start by identifying key content areas where optimization can make a significant impact. Focus on core components such as blog posts, product descriptions, and landing pages. Each of these sections should be evaluated for keyword relevance and density, ensuring that they align with your target SEO strategy.

Conducting Keyword Frequency Analysis

Using tools and techniques like the Bag of Words (BoW) model, perform a keyword frequency analysis on the website’s content. This involves breaking down the text into individual words, counting their occurrences, and identifying the most frequently used keywords. This analysis helps reveal which terms are being emphasized and whether they align with your SEO objectives.

Evaluating Keyword Alignment

Once key keywords are identified, assess their alignment with your overall SEO strategy. Check if these keywords match your target audience’s search intent and if they are appropriately distributed throughout the content. Ensure that high-value keywords are used strategically in titles, headings, and body text to maximize visibility.

Optimizing for Better Results

Based on the analysis, refine and optimize your content. Incorporate relevant keywords more effectively, address content gaps, and improve keyword density where necessary. Regularly monitor and update your content to keep it aligned with evolving SEO trends and maintain strong search engine rankings.

For instance, if a cooking website frequently features terms such as “recipe,” “cook,” and “ingredients,” it indicates that the site is effectively targeting those keywords. Conversely, if these keywords are underrepresented, the site owner might need to incorporate additional content focused on recipes to better attract and engage visitors.

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# Import Necessary libraries.

import requests

from bs4 import BeautifulSoup

from sklearn.feature_extraction.text import CountVectorizer

import pandas as pd

[ ]

url= ‘https://thatware.co/’

# Send an HTTP request to the website

response = requests.get(url)

# Parse the website’s HTML content

soup = BeautifulSoup(response.content, ‘html.parser’)

soup

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<li class=”menu-item menu-item-type-custom menu-item-object-custom menu-item-has-children menu-parent-item menu-item-23856 normal-menu” id=”menu-item-23856″><a href=”#”><span>Pricing</span></a><i class=”fa sub-mark fa-angle-down” tabindex=”0″></i>

<li class=”menu-item menu-item-type-custom menu-item-object-custom menu-item-21815″ id=”menu-item-21815″><a href=”https://thatware.co/360-seo-package/“><span>360 Degree SEO Package</span></a></li>

<li class=”menu-item menu-item-type-post_type menu-item-object-post menu-item-23859″ id=”menu-item-23859″><a href=”https://thatware.co/enterprise-seo-pricing/“><span>Enterprise SEO Pricing</span></a></li>

<li class=”menu-item menu-item-type-custom menu-item-object-custom menu-item-22137″ id=”menu-item-22137″><a href=”https://thatware.co/outsource-seo-services/“><span>Outsource SEO</span></a></li>

<li class=”menu-item menu-item-type-post_type menu-item-object-post menu-item-23858″ id=”menu-item-23858″><a href=”https://thatware.co/enterprise-vs-360-degree-seo-packages/“><span>Difference Between Enterprise and 360 Degree SEO Packages</span></a></li>

<li class=”menu-item menu-item-type-post_type menu-item-object-post menu-item-23860″ id=”menu-item-23860″><a href=”https://thatware.co/offpage-seo-pricing/“><span>Off-Page SEO Pricing Option</span></a></li>

</ul>

</li>

</ul></div> </nav>

<!– #access –>

</header>

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<ul>

<li><h6>173,897,521</h6><p>$ Revenue<br/>Generated via SEO</p></li>

<li><h6>8,898,140</h6><p>Qualified Leads<br/>Generated</p></li>

</ul>

</div>

<!–<h5>AWARDED TOP RATED<br> PROFESSIONAL SEO<br> AGENCY BY<br>

<span class=”item-1″>CLUTCH</span> <span class=”item-2″>MANIFEST</span> <span class=”item-3″>SEM FIRMS</span></h5>–>

<!–<h5>AWARDED TOP RATED PROFESSIONAL SEO AGENCY BY <span>CLUTCH</span>, <span>MANIFEST</span>, <span>SEM FIRMS</span></h5>–>

<!–<h5>Future-Proof SEO: Amplify Visibility through <span>NLP</span>, <span>Semantics</span>, <span>Large Language Models (LLM)</span></h5>–>

<h5>Step into the Future of SEO: Amplify Visibility via <span>NLP</span>, <span>Semantics</span>, <span>Large Language Models (LLM)</span></h5>

</div>

<!–<p class=’seo-ts’>SEO</p>

<p class=’ds-ts’>DATA <br>SCIENCE</p>

<p class=’ml-ts’>MACHINE <br>LANGUAGE</p>–>

</div>

<h5>Pioneer the Fusion of SEO with Artificial Intelligence and Data Science – a World-First Innovation!</h5>

</div>

<h6>Revolutionary SEO: Infusing AI for Unmatched Results – Your Professional SEO Partner!</h6>

</div>

</div>

<h6>Recognized and Awarded Worldwide by 200+ Elite Media Houses, Including:

<li class=”heart”>Forbes Select 200</li>

<li class=”heart”>Clutch</li>

<li class=”heart”>BrightonSEO</li>

<li class=”heart”>GoodFirms</li>

<li class=”heart”>Entrepreneur</li>

<li class=”heart”>Manifest</li>

<li class=”heart”>STEVIE’S</li>

<li class=”heart”>Inventiva</li>

<!–<li class=”heart”>ECONOMIC TIMES</li>–>

</ul>

</h6></div>

</div>

<h2>GET A CUSTOMIZED SEO AUDIT & DIGITAL MARKETING STRATEGY FOR YOUR BUSINESS. START BY SHARING YOUR DETAILS BELOW!</h2>

</div>

</p>

</div><div aria-hidden=”true” class=”wpcf7-response-output”></div>

</form>

</div>

<h5>IF YOU WOULD LIKE TO DISCUSS YOUR SEO CHALLENGES, CONTACT US TODAY BY CLICKING THE LINK BELOW</h5>

<div class=”banner-btn”><a class=”shutter-btn” href=”https://thatware.co/contact-us“>CONTACT US</a></div>

</div>

<h2>AI SEO UNLOCKS THE GOOGLE MAZE</h2>

<p>8 years ago, we embarked on a journey to unravel the intricacies of the Google algorithm—a cryptic enigma begging to be deciphered. Consider it akin to unlocking a closely guarded secret, comparable only to the recipe of Coca Cola or the security measures surrounding the Crown Jewels of London.</p>

<p>To traverse the Google maze, we decided to rewrite the rules and carve our own path. Our strategy? Develop proprietary AI algorithms to adeptly monitor and navigate the evolving landscape of the Google algorithm. To date, we’ve pioneered an impressive portfolio of 753+ unique AI SEO algorithms, elevating the effectiveness and efficiency of our work.</p>

<p>While SEO teams globally have traditionally relied on three key strategies—on-site SEO optimization, backlink building, and content creation and optimization—we at Thatware AI SEO have rewritten the playbook.</p>

<p>Picture this scenario: Your company aspires to secure a coveted spot on page 1 for a strategic keyword. Like clockwork, you scrutinize competitors already occupying that space, pondering the age-old question: “How do I surpass my competitors?”</p>

<p>While conventional SEO companies diligently apply the core elements of on-site optimization, backlink building, and content creation, they often miss a crucial ingredient—Intelligent Guidance.</p>

<p>Here’s our differentiator: Our AI SEO algorithms generate unparalleled “intelligent guidance” unavailable to any other SEO agency globally, revolutionizing the game.</p>

<p>Here’s how it unfolds:</p>

<p>1. Our AI algorithms meticulously analyze your competitors’ sites.</p>

<p>2. They scrutinize your website.</p>

<p>3. They delve into the depths of the Google algorithm itself (yes, we use our AI to monitor Google’s AI).</p>

<p>4. Our AI algorithms provide precise, surgical instructions for implementing the essential aspects of SEO (on-site, backlinks, and content).</p>

<p>5. In essence, our AI SEO algorithms dictate EXACTLY WHAT TO DO to establish your site as the most authoritative for a given keyword, ensuring swift ascent to page 1.</p>

<p>A staggering 95% retention rate across 7400+ clients serves as irrefutable evidence of our success.</p>

</div>

<ul>

<li>

<h6>FASTER RESULTS</h6>

<p>Utilizing 753 proprietary AI algorithms, our SEO strategy implementation delivers improved SERP results more swiftly than any other SEO agency globally.</p>

</li>

<li>

<h6>NAVIGATING GOOGLE’S ALGORITHM CHANGES</h6>

<p>Google undergoes over 5000 changes to its algorithm each year. We leverage AI to empower our clients to seamlessly adapt to Google’s algorithmic shifts. Yes, our AI monitors Google’s AI.</p>

</li>

<li>

<h6>ENHANCED CUSTOMER JOURNEY</h6>

<p>Our AI SEO systems also contribute to optimizing customer journeys, enhancing user experiences, and maximizing ROI from marketing efforts.</p>

</li>

<li>

<h6>HUMAN-BASED THINKING</h6>

<p>Implementing advanced technical SEO operations such as chatbots and trend line identification greatly assists online businesses in providing human-based customer support. This, in turn, boosts revenue streams for online enterprises.</p>

</li>

<li>

<h6>PRECISE ROI TRACKING</h6>

<p>AI-based SEO ensures precise ROI tracking, involving real-time data tracking with high-level insights. Business owners can effectively measure SEO success with this approach.</p>

</li>

<li>

<h6>ENHANCED USER EXPERIENCE</h6>

<p>Leveraging artificial intelligence in search engine optimization allows website owners to elevate user experiences on their sites. Advanced data analytics discern user behavior and study patterns to enhance the intent of search queries, resulting in higher search engine rankings.</p>

</li>

<li>

<h6>PROACTIVE REPORTING</h6>

<p>Artificial intelligence aids in creating real-time reporting tables, correlating essential data and statistics for a powerful SEO campaign. Real-time reporting is crucial for running an effective SEO strategy.</p>

</li>

<li>

<h6>INTENT SATISFACTION</h6>

<p>Semantic engineering and information retrieval contribute to achieving proper intent satisfaction. This fundamental algorithm not only aligns with Google’s core principles but also ensures high-ranking positions for challenging keywords.</p>

</li>

<li>

<h6>PERFORMANCE GUARANTEE</h6>

<p>Advanced SEO strategies guarantee that a campaign achieves performance benchmarks, encompassing aspects such as keyword ranking, SERP visibility, organic traffic, brand value, and more.</p>

</li>

</ul>

</div>

<h2>SERVICES BY THATWARE</h2>

<p>There are numerous technical SEO companies worldwide, but Thatware stands out as the global leader with its AI-powered advanced SEO systems. From advanced off-page services to professional AI SEO solutions, no other agency possesses <strong>Thatware’s</strong> capabilities.</p>

<p>What distinguishes us is the 753 AI algorithms we’ve developed over the past 8 years. These AI tools provide cutting-edge technology, leveraging sophisticated data science, machine learning, semantic engineering, advanced search, and more.</p>

<p>In addition to AI SEO, the team at <strong>THATWARE</strong> offers a diverse range of services. Explore the options below and reach out to us to elevate your online marketing to a whole new level.</p>

</div>

<h2>ADVANCED SEO</h2>

<p>Experience the best practices of top-notch SEO standards with the perfect blend of search engineering. Our service model incorporates all our AI techniques, seamlessly integrating them with SEO to achieve greater success.</p>

</div>

<h2>Advanced Digital Marketing</h2>

<p>Utilizing the best data science practices for ROI-based marketing, we provide advanced data-driven strategies and cutting-edge techniques that can transform a small startup into a branded organization.</p>

</div>

<h2>Advanced Link Building</h2>

<p>Includes the implementation and execution of sophisticated link-building principles and strategies. Our advanced, cutting-edge link-building methods and techniques can contribute to achieving success.</p>

</div>

<!–<div class=”thatware-services”>–>

<!– <div class=”serv-icon”><i class=”fa fa-braille”></i></div>–>

<!– <h2>AI Based search engine optimization</h2>–>

<!– <p>This is our unique service proposition. We make use of semantic engineering and NLP for getting standardized SEO’s implemented. In this model we offer many of our own invented artificial intelligence strategies.</p>–>

<!– <a href=”https://thatware.co/ai-based-seo-services/” class=”shutter-btn”>Read More</a>–>

<!–</div>–>

<!–<div class=”thatware-services”>–>

<!– <div class=”serv-icon”><i class=”fa fa-bold”></i></div>–>

<!– <h2>Branding, Paid Marketing</h2>–>

<!– <p>If you want to take your business into a whole new level with the help of paid marketing strategies like PPC, PR, Media, and etc. reach out to us. We will help you to reach your goal with our marketing strategies.</p>–>

<!– <a href=”https://thatware.co/branding-press-release-services/” class=”shutter-btn”>Read More</a>–>

<!–</div>–>

<!–<div class=”thatware-services”>–>

<!– <div class=”serv-icon”><i class=”fa fa-cc-mastercard”></i></div>–>

<!– <h2>Business Intelligence</h2>–>

<!– <p>Service which will help to uncover all the competitive best practices and strategies using data driven strategies and technicalities. We have an expert team of Business Intelligence to serve.</p>–>

<!– <a href=”https://thatware.co/business-intelligence-services/” class=”shutter-btn”>Read More</a>–>

<!–</div>–>

<!–<div class=”thatware-services”>–>

<!– <div class=”serv-icon”><i class=”fa fa-cubes”></i></div>–>

<!– <h2>Managed search engine optimization</h2>–>

<!– <p>This service model is designed and crafted for big companies and agencies. Example – Fortune companies, MNC’s and multi-national agencies. Here all the operations are custom and dedicatedly performed.</p>–>

<!– <a href=”https://thatware.co/managed-seo/” class=”shutter-btn”>Read More</a>–>

<!–</div>–>

<!–<div class=”thatware-services”>–>

<!– <div class=”serv-icon”><i class=”fa fa-area-chart”></i></div>–>

<!– <h2>One Time search engine optimization</h2>–>

<!– <p>This service model is designed and crafted for small businesses and start-ups. One-time SEO will help with getting all low hanging fruits resolved at best pricing which gives a positive effect on Digital Marketing.</p>–>

<!– <a href=”https://thatware.co/starter-seo-services/” class=”shutter-btn”>Read More</a>–>

<!–</div>–>

<!–<div class=”thatware-services”>–>

<!– <div class=”serv-icon”><i class=”fa fa-handshake-o”></i></div>–>

<!– <h2>Reseller search engine optimization</h2>–>

<!– <p>This service model is designed and crafted for agencies who are looking to outsource their existing projects at affordable re-seller pricing. Our expert team of outsourcing can help to get the best deal out of the project.</p>–>

<!– <a href=”https://thatware.co/reseller-seo-services/” class=”shutter-btn”>Read More</a>–>

<!–</div>–>

<a class=”serv-btn shutter-btn” href=”https://thatware.co/services/“>VIEW ALL SERVICES</a>

</div>

<h2>Let Our Recognition Speak</h2>

</div>

<p>Brighton</p>

</div>

</div>

<p>Forbes</p>

</div>

<h2>CASE STUDIES</h2>

</div>

<h2>SUNRAY OPTICAL INC. (HEAVYGLARE EYEWEAR)</h2>

<p>Services Provided : Advanced SEO</p>

<p>The business marketing SEO model implemented for the above campaign is an advanced model. In other words, we executed top-notch search strategies with the right blend of Artificial Intelligence semantics, data science, advanced link building, and NLP. As a result, the following statistics were obtained:</p>

<ul>

<li><strong>1.5<sup>$MILLION</sup></strong><br/>In Sales</li>

<li><strong>600,000<sup>+</sup></strong><br/>Organic Sessions</li>

<li><strong>Over 50,00</strong><br/>Checkouts</li>

</ul>

</div>

<div class=”case-btn text-center”><a class=”shutter-btn” href=”https://thatware.co/case-studies/“>Read Complete Case</a></div>

</div>

<h2>VIDEO TESTIMONIALS</h2>

</div>

</div>

</div>

</div>

</div>

<h2>OUR CLIENTS</h2>

<p>We are acknowledged as one of the leading SEO firms globally. With that said, we provide the best SEO services tailored for both small businesses and large Fortune companies. Our clientele spans from local vendors to international billion-dollar corporations. Our SEO strategies for online businesses are advanced, and we offer tailor-made customized solutions to all our clients.</p>

<p>If you are seeking to hire a technical SEO expert or a search engine optimization consultant, THEN THATWARE is the right place for you. Our unique USP is one of a kind, making us the only advanced search company in the world that operates on AI and data science.</p>

<p>Allow us to serve you and elevate your online business to a whole new level. Become a part of our amazing portfolio. Join our family, where we work day and night to ensure the best-in-class service for your online needs.</p>

</div>

<ul>

</ul>

</div>

<li><a class=”shutter-btn” href=”https://thatware.co/faq/“>Generic FAQ’s</a></li>

</ul>

<!–<h2 class=”text-center”>FREQUENTLY ASKED QUESTIONS</h2>–>

</div>

<h3>SEND US YOUR THOUGHTS</h3>

</input></div>

</p>

</p>

<p><label> <span class=”wpcf7-form-control-wrap” data-name=”menu-219″><select aria-invalid=”false” aria-required=”true” class=”wpcf7-form-control wpcf7-select wpcf7-validates-as-required” name=”menu-219″><option value=””>Choose service</option><option value=”Advanced SEO”>Advanced SEO</option><option value=”AI Based SEO”>AI Based SEO</option><option value=”Advanced Digital Marketing”>Advanced Digital Marketing</option><option value=”Fully Managed SEO”>Fully Managed SEO</option><option value=”Web Design and Dev”>Web Design and Dev</option><option value=”Graphic Designing”>Graphic Designing</option><option value=”Advanced Link Building”>Advanced Link Building</option><option value=”Software Development”>Software Development</option><option value=”Conversion Rate Optimization”>Conversion Rate Optimization</option><option value=”Social Media Marketing”>Social Media Marketing</option><option value=”Google Penalty Recovery”>Google Penalty Recovery</option><option value=”Local SEO”>Local SEO</option><option value=”Content Marketing”>Content Marketing</option><option value=”Content Writing”>Content Writing</option></select></span> </label>

</p>

<p><label> <span class=”wpcf7-form-control-wrap” data-name=”menu-220″><select aria-invalid=”false” aria-required=”true” class=”wpcf7-form-control wpcf7-select wpcf7-validates-as-required” name=”menu-220″><option value=””>Select budget</option><option value=”$0 – $500″>$0 – $500</option><option value=”$500 -$1000″>$500 -$1000</option><option value=”$1000 – $1500″>$1000 – $1500</option><option value=”$1500 – $2500″>$1500 – $2500</option><option value=”$2501 – $3500″>$2501 – $3500</option><option value=”$3501 -$5000″>$3501 -$5000</option><option value=”$5001 -$10000″>$5001 -$10000</option><option value=”$10000 +”>$10000 +</option></select></span> </label>

</p>

</p>

</p><div aria-hidden=”true” class=”wpcf7-response-output”></div>

</form>

</div>

<h2>GET IN TOUCH</h2>

<p>Fill out the contact form to reach our internet marketing experts in our company. If you want to inquire about affordable SEO packages or any other customized needs, please get in touch. We value and respond to each and every request that comes our way.</p>

</div>

</article>

</div><!– #mid –>

<footer class=”to-move narrow classic footer-separator” id=”footer”><div class=”foot-widgets five-col dark-sidebar”><div class=”foot-content clearfix”><div class=”widget widget_text” id=”text-26″><h3 class=”title”><span>Important Resources</span></h3> <div class=”textwidget”><p><a href=”https://thatware.co/privacy-policy/“>Privacy Policy</a><br>

<a href=”https://thatware.co/html-sitemap/“>HTML Sitemap</a><br>

<a href=”https://thatware.co/sitemap.xml“>XML Sitemap</a><br>

<a href=”https://thatware.co/whitepaper/“>WHITEPAPER</a><br>

<a href=”https://thatware.co/wp-content/uploads/2022/04/ThatWare-Corporate-Profile.pdf“>Company Deck</a><br>

<a href=”https://thatware.co/case-studies/“>Case Studies</a><br/>

<a href=”https://thatware.co/ai-implementations-seo/“>AI Implementations SEO</a><br/>

<a href=”https://thatware.co/ai-based-seo-blueprint/“>AI SEO Blueprint</a><br/>

<a href=”https://thatware.co/wp-content/uploads/2020/10/Mybettingdeals.com-Latest-Algorithm-update-presentation.pptx“>Algorithm Audit Sample</a><br/>

<a href=”https://www.youtube.com/watch?v=yE6bx2W3GU8“>AI-SEO Video</a></br></br></br></br></br></p>

<p style=”font-size: 13px; font-weight: 800; color: white;”>SEO KNOWLEDGE BASE</p>

<ul>

<li><a href=”https://thatware.co/google-indexifembedded-tag/“>New Robot’s Tag</a><a href=”https://thatware.co/advanced-seo/“> </a></li>

<li><a href=”https://thatware.co/linked-domains/“>Linked Domains</a><a href=”https://thatware.co/advanced-seo/“> </a><br/>

<a href=”https://thatware.co/social-media-poll/“>Social Media Polling </a><br/>

<a href=”https://thatware.co/image-geotagging/“>Image Geo-tagging </a></li>

<li><a href=”https://thatware.co/topic-cluster/“>Topic Clustering</a></li>

<li><a href=”https://thatware.co/google-page-title-update/“>Google Title Re-write</a><br/>

<a href=”https://thatware.co/google-story/“>Google Story </a></li>

<li><a href=”https://thatware.co/author-schema/“>Author Schema</a></li>

<li><a href=”https://thatware.co/faq-schema/“>FAQ Schema</a></li>

<li><a href=”https://thatware.co/xml-audit/“>XML Audit</a></li>

<li><a href=”https://thatware.co/google-discover/“>Google Discover</a></li>

<li><a href=”https://thatware.co/favicon-optimization/“>Favicon Optimization</a></li>

<li><a href=”https://thatware.co/content-syndication/“>Content Syndication</a></li>

<li><a href=”https://thatware.co/google-analytics-goals/“>Goals in GA</a></li>

<li><a href=”https://thatware.co/domain-age/“>Domain Age</a></li>

<li><a href=”https://thatware.co/multilingual-seo/“>Multilingual SEO</a></li>

<li><a href=”https://thatware.co/share-of-voice/“>Share of Voice</a></li>

<li><a href=”https://thatware.co/url-inspection-api/“>URL INSPECTION API</a></li>

<li><a href=”https://thatware.co/sitewide-links/“>Sitewide Links</a></li>

<li><a href=”https://thatware.co/pogo-sticking/“>Pogo Sticking</a></li>

<li><a href=”https://thatware.co/crawler-directives/“>Crawler Directives</a></li>

<li><a href=”https://thatware.co/geographic-modifiers/“>Geographic Modifiers</a></li>

<li><a href=”https://thatware.co/5xx-status-codes/“>5xx Status Codes</a></li>

</ul>

<p style=”font-size: 13px; font-weight: 800; color: white;”>CORA SEO Sample</p>

<p><a href=”https://thatware.co/wp-content/uploads/2020/11/cora.pptx“>Download CORA report</a></p>

</div>

</div><div class=”widget widget_text” id=”text-27″><h3 class=”title”><span>Our Exclusive Services</span></h3> <div class=”textwidget”><p><a href=”https://thatware.co/digital-marketing-services/“>Digital Marketing</a><br/>

<a href=”https://thatware.co/link-building-services/“>Advanced Link Building</a><br/>

<a href=”https://thatware.co/advanced-seo-services/“>Advanced SEO</a><br/>

<a href=”https://thatware.co/ai-based-seo-services/“>AI Based SEO</a><br/>

<a href=”https://thatware.co/branding-press-release-services/“>Paid Marketing</a><br/>

<a href=”https://thatware.co/business-intelligence-services/“>Business Intelligence</a><br/>

<a href=”https://thatware.co/managed-seo/“>Fully Managed SEO</a><br/>

<a href=”https://thatware.co/conversion-rate-optimization/“>Conversion Funnel</a><br/>

<a href=”https://thatware.co/social-media-marketing/“>Social Media (SMM)</a><br/>

<a href=”https://thatware.co/google-penalty-recovery/“>Penalty Recovery</a><br/>

<a href=”https://thatware.co/local-business-seo-services/“>Local SEO (GMB)</a><br/>

<a href=”https://thatware.co/reseller-seo-services/“>Reseller SEO</a><br/>

<a href=”https://thatware.co/content-writing-services/“>Content Writing</a><br/>

<a href=”https://thatware.co/content-proofreading-services/“>Content Proofreading</a><br/>

<a href=”https://thatware.co/seo-consulting-services/“>SEO Consultation</a><br/>

<a href=”https://thatware.co/web-development-services/“>Web Development</a><br/>

<a href=”https://thatware.co/website-design-services/“>Web Designing</a><br/>

<a href=”https://thatware.co/chatbot-services/“>Chatbot Development</a><br/>

<a href=”https://thatware.co/ui-services/“>UI Development</a><br/>

<a href=”https://thatware.co/ux-services/“>UX Development</a><br/>

<a href=”https://thatware.co/app-development-services/“>App Development</a><br/>

<a href=”https://thatware.co/software-development-services/“>Software Development</a><br/>

<a href=”https://thatware.co/bug-testing-services/“>Bug Testing</a><br/>

<a href=”https://thatware.co/website-maintenance-services/“>Website Maintenance</a><br/>

<a href=”https://thatware.co/aws-managed-services/“>AWS Management</a><br/>

<a href=”https://thatware.co/technology-consulting-services/“>Tech Consultation</a><br/>

<a href=”https://thatware.co/graphic-design-services/“>Graphic Designing</a><br/>

<a href=”https://thatware.co/competitor-keyword-analysis/“>Competitor Research</a><br/>

<a href=”https://thatware.co/market-research-services/“>Market Research</a><br/>

<p><a href=”https://thatware.co/wp-content/uploads/2021/06/Extensive-SEO-Strategy.pptx“>Extensive SEO</a><br/>

<a href=”https://thatware.co/wp-content/uploads/2021/06/ThatWare-WorkFlow-Process.pptx“>Standard SEO</a><br/>

<a href=”https://thatware.co/wp-content/uploads/2021/06/ThatWare-AI-SEO-WorkFlow.pptx“>AI-Driven SEO</a><br/>

<a href=”https://thatware.co/wp-content/uploads/2021/06/Backlink-Extensive-Plan.pptx“>Backlink Technique’s</a><br/>

<a href=”https://thatware.co/wp-content/uploads/2021/06/ASO-Marketing-Strategy.pptx“>ASO WorkFlow</a></p>

</div>

</div><div class=”widget widget_text” id=”text-28″><h3 class=”title”><span>SEO Services by Industry</span></h3> <div class=”textwidget”><p><a href=”https://thatware.co/igaming-casino-seo-services/“>iGaming & Casino SEO</a><br/>

<a href=”https://thatware.co/accounting-firms-seo-services/“>SEO for Financial Industry</a><br/>

<a href=”https://thatware.co/law-firm-seo-services/“>SEO for legal services</a><br/>

<a href=”https://thatware.co/weight-loss-diet-seo-services/“>SEO for weight loss</a><br/>

<a href=”https://thatware.co/travel-seo-services/“>SEO for Travel</a><br/>

<a href=”https://thatware.co/real-estate-seo-services/“>SEO for real estate</a><br/>

<a href=”https://thatware.co/ecommerce-seo-services/“>SEO for ecommerce</a><br/>

<a href=”https://thatware.co/forex-seo-services/“>SEO for Forex</a><br/>

<a href=”https://thatware.co/cryptocurrency-seo-services/“>SEO for Crypto</a><br/>

<a href=”https://thatware.co/pharmaceutical-seo-services/“>SEO for Pharma</a><br/>

<a href=”https://thatware.co/seo-for-healthcare-industry/“>SEO for Health care</a><br/>

<a href=”https://thatware.co/dating-swinger-social-seo-services/“>SEO for Dating</a><br/>

<a href=”https://thatware.co/seo-services-website-security/“>SEO for Cyber Security</a></p>

<p style=”font-size: 13px; font-weight: 800; color: white;”>Media Links</p>

<p><a href=”http://blog.stevieawards.com/blog/artificial-intelligence-advances-digital-marketing“>Stevie Awards</a><br/>

<a href=”https://www.hindustantimes.com/brand-post/thatware-pioneers-advanced-seo-with-ai-powered-digital-arketing/story-2Y5Yc80BBjUIJl3tOhiyOL.html“>Hindustan Times</a><br/>

<a href=”https://economictimes.indiatimes.com/tech/software/meet-tuhin-banik-guy-whos-changing-the-digital-marketing-landscape-using-artificial-intelligence/articleshow/68609758.cms“>Economic Times</a><br/>

<a href=”https://timesofindia.indiatimes.com/business/india-business/this-is-how-digital-marketing-is-getting-changed-with-the-help-of-artificial-intelligence/articleshow/69229197.cms“>Times Of India</a><br/>

<a href=”https://www.forbesindia.com/article/brand-connect/thatware-is-redefining-digital-marketing-with-artificial-intelligence/55681/1“>Forbes</a><br/>

<a href=”https://www.dailypioneer.com/2020/state-editions/tuhin-banik-bags-bronze-medal-at-int—l-business-awards-in-austria.html“>Pioneer</a><br/>

<a href=”https://www.businesswireindia.com/thatware-llp-plans-major-global-expansion-as-ai-based-digital-marketing-witnesses-unprecedented-growth-65587.html“>Business Wire</a></p>

<p style=”font-size: 13px; font-weight: 800; color: white;”>Verifications</p>

</div>

</div><div class=”widget widget_text” id=”text-30″><h3 class=”title”><span>Indian State Based SEO Services</span></h3> <div class=”textwidget”><p><a href=”https://thatware.co/seo-company-india/“>SEO Services India</a><br/>

<a href=”https://thatware.co/seo-company-chennai/“>SEO Services Chennai</a><br/>

<a href=”https://thatware.co/seo-company-delhi/“>SEO Services Delhi</a><br/>

<a href=”https://thatware.co/seo-company-gurgaon/“>SEO Services Gurgaon</a><br/>

<a href=”https://thatware.co/seo-company-hyderabad/“>SEO Services Hyderabad</a><br/>

<a href=”https://thatware.co/seo-services-kolkata/“>SEO Services Kolkata</a><br/>

<a href=”https://thatware.co/seo-company-lucknow/“>SEO Services Lucknow</a><br/>

<a href=”https://thatware.co/seo-company-mumbai/“>SEO Services Mumbai</a><br/>

<a href=”https://thatware.co/seo-company-noida/“>SEO Services Noida</a><br/>

<a href=”https://thatware.co/seo-company-pune/“>SEO Services Pune</a><br/>

<a href=”https://thatware.co/seo-services-bangalore/“>SEO Services Bangalore</a><br/>

<a href=”https://thatware.co/seo-services-gujarat/“>SEO Services Gujarat</a><br/>

<a href=”https://thatware.co/seo-services-ahmedabad/“>SEO Ahmedabad</a><br/>

<a href=”https://thatware.co/seo-services-surat/“>SEO Services Surat</a><br/>

<a href=”https://thatware.co/seo-company-tamil-nadu/“>SEO Services Tamil Nadu</a></p>

<p style=”font-size: 13px; font-weight: 800; color: white;”>Country Based SEO Services</p>

<p><a href=”https://thatware.co/seo-services-australia/“>SEO Services Australia</a><br/>

<a href=”https://thatware.co/seo-services-canada/“>SEO Services Canada</a><br/>

<a href=”https://thatware.co/seo-services-europe/“>SEO Services Europe</a><br/>

<a href=”https://thatware.co/seo-services-israel/“>SEO Services Israel </a><br/>

<a href=”https://thatware.co/seo-services-new-zealand/“>SEO Services NZ</a><br/>

<a href=”https://thatware.co/seo-services-south-africa/“>SEO Services Africa</a><br/>

<a href=”https://thatware.co/seo-services-uae/“>SEO Services UAE</a><br/>

<a href=”https://thatware.co/seo-services-uk/“>SEO Services UK</a><br/>

<a href=”https://thatware.co/seo-services-usa/“>SEO Services USA</a></p>

<p style=”font-size: 13px; font-weight: 800; color: white;”>DIY SEO Practices</p>

<a href=”https://thatware.co/google-my-business/“>DIY GMB Guide</a><br/>

<p style=”font-size: 13px; font-weight: 800; color: white;”>Our Strategy Partner</p>

<p><a href=”https://thatware.io/“>THATWARE IO</a></p>

<p><a href=”https://www.webtool.co/“>WebTool</a></p>

</div>

</div><div class=”widget widget_text” id=”text-21″><h3 class=”title”><span>ADDress</span></h3> <div class=”textwidget”><p style=”font-size: 13px; font-weight: 800; color: white;”>India Office 1:</p>

<div class=”contact-address”>ThatWare LLP, Arunava Sarani, Sukriti Apartment – G Floor, North Ghosh Para, Bally, Howrah – 711227 Nearest Landmark:- Bally Halt Utsav Lodge</div>

<p style=”font-size: 13px; font-weight: 800; color: white;”>India Office 2:</p>

<div class=”contact-address”>ThatWare LLP, DC Neogi Road, Srijoni Apartment – G Floor, North Ghosh Para, Bally, Howrah – 711227</div>

<div class=”contact-email”><i class=”fa fa-envelope”></i><a href=”info@thatware.co”>info@thatware.co</a></div>

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<p style=”font-size: 13px; font-weight: 800; color: white;”>Dubai ADDRESS :</p>

<p>Al Asayel St – Al Furjan – Dubai – United Arab Emirates</p>

<p>GMZ-F01-104, Danube Gemz</p>

<p style=”font-size: 13px; font-weight: 800; color: white;”>UK ADDRESS :</p>

<p>71-75 Shelton Street Covent Garden London WC2H 9JQ ENGLAND</p>

</div>

<p style=”font-size: 13px; font-weight: 800; color: white;”>Our AI-SEO technology is Patent protected with Patent Filing Number: 202131021713</p>

<p style=”font-size: 13px; font-weight: 800; color: white;”>Thatware LLP is also protected under Intellectual property: CBR IP 6979</p>

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<!– This website is like a Rocket, isn’t it? Performance optimized by WP Rocket. Learn more: https://wp-rocket.me – Debug: cached@1723156911 –>

get_text(): This is a method provided by BeautifulSoup that extracts all the text from the HTML content stored in the soup variable

[ ]

# Extract the text from the webpage.

text = soup.get_text()

text

text.split(): This splits the text into a list of words, using any amount of whitespace (spaces, tabs, newlines) as the delimiter.

text=” Welcome to my website \n\nThis is a paragraph of text. “

text.split()= [“Welcome”, “to”, “my”, “website”, “This”, “is”, “a”, “paragraph”, “of”, “text.”]

‘ ‘.join(…): This joins the list of words back into a single string, using a single space character as the separator.

Then, the join() method will join the list of words back into a single string, using a single space character as the separator:

clean_text = ‘ ‘.join(text.split())

clean_text = “Welcome to my website This is a paragraph of text.”

[ ]

# Clean up the text by removing extra spaces, line breaks, etc.

clean_text = ‘ ‘.join(text.split())

clean_text

CountVectorizer: A Tool to Convert Text to Numbers.

What is CountVectorizer?

Imagine you have a tool that can read text and count how often each word appears. CountVectorizer is that tool in Python.
It converts text into a format that computers can understand—specifically, it turns text into a list of word counts.

What Are Stop Words?

Stop words are common words like “the”, “and”, “is”, which usually don’t carry significant meaning in a sentence.
By setting stop_words=’english’, we tell the tool to ignore these common words, so we focus on the more important words.

Example

Suppose you have a sentence: “The cat sits on the mat.”
Without removing stop words, “the” would be counted, but it doesn’t add much meaning. By removing stop words, we focus on words like “cat”, “sits”, and “mat”.

Fitting and Transforming Text into a Bag of Words Model

X = vectorizer.fit_transform([text])

Fit and Transform—What Does It Mean?
- “Fitting” means that the tool learns from the text you provide. It identifies all the unique words in the text.
- “Transforming” means converting the text into numbers based on what was learned. Specifically, it counts how many times each word appears.

Example:

If your text is “Cat mat cat mat cat”, the tool will learn that there are two unique words: “cat” and “mat”.
Then it will transform the text into numbers, resulting in something like: {“cat”: 3, “mat”: 2}.

[ ]

# Use CountVectorizer to create the BoW model, removing stop words

vectorizer = CountVectorizer(stop_words=’english’)

# Fit and transform the text into a BoW model

X = vectorizer.fit_transform([text])

<1×773 sparse matrix of type ‘<class ‘numpy.int64′>’

with 773 stored elements in Compressed Sparse Row format>

Converting the Bag of Words Model to a DataFrame

bow_df = pd.DataFrame(X.toarray(), columns=vectorizer.get_feature_names_out())

Introduction to DataFrames

In data analysis, a DataFrame is a powerful data structure provided by libraries like Pandas in Python. It allows for easy manipulation, analysis, and visualization of data in a tabular format. Converting the Bag of Words (BoW) model into a DataFrame makes it easier to handle and analyze text data, providing a structured view of word frequencies and their distribution.

Transforming BoW Output

To convert the Bag of Words model output into a DataFrame, follow these steps:

Create the BoW Model:

Begin by applying the Bag of Words model to your text data. This involves tokenizing the text and counting the frequency of each word. Use libraries like Scikit-learn to generate a matrix of word counts, where rows represent documents and columns represent words.

Generate the DataFrame:

Once you have the word count matrix, import the Pandas library and create a DataFrame. Each row of the DataFrame corresponds to a document, and each column represents a specific word from the BoW model. The cell values are the frequencies of the words in the corresponding documents.

Labeling and Indexing:

Label the DataFrame columns with the unique words identified by the BoW model and set the index to represent different documents or text samples. This labeling helps in easily identifying and accessing specific keywords and their frequencies.

Analyzing the DataFrame:

With the DataFrame created, you can perform various analyses, such as sorting words by frequency, identifying the most common keywords, and visualizing word distributions. This structured format allows for efficient data manipulation and insightful analysis.

Example:

Consider the text “apple banana apple orange”. After processing, the resulting DataFrame could appear as follows:

This table indicates that “apple” occurs 2 times, “banana” 1 time, and “orange” 1 time.

bow_df = pd.DataFrame(X.toarray(), columns=vectorizer.get_feature_names_out())

X.toarray()
- What It Does: Converts the BoW matrix into a 2D NumPy array.
- Why It’s Needed: The BoW model created by CountVectorizer is in a sparse matrix format, which is efficient for storing data but not very readable. toarray() converts it into a regular 2D array where each row represents a document, and each column represents a word.

Example:

Suppose you have the following simple text document:
“apple banana apple”
- The BoW model might be represented as a sparse matrix like this:
  [[2, 1]]
2 is the count for “apple” and 1 is the count for “banana”.

After toarray(), it becomes:
[[2, 1]]
vectorizer.get_feature_names_out()

What It Does: Retrieves the list of words (features) that the CountVectorizer used.
Why It’s Needed: This list of words is used to label the columns of the DataFrame. Each column corresponds to one of these words.
Example:

If your vocabulary from the text document was [‘apple’, ‘banana’], get_feature_names_out() will return:

[‘apple’, ‘banana’]

pd.DataFrame(…)
- What It Does: Creates a DataFrame using the 2D array and the list of feature names.
- Why It’s Needed: A DataFrame is a tabular format that’s easier to read and manipulate compared to raw arrays. Each column represents a word, and each row represents a document (though here we have just one document).

Example:
- With the 2D array [[2, 1]] and the feature names [‘apple’, ‘banana’], the DataFrame will look like this:

[ ]

# Convert the BoW model into a DataFrame for easier analysis

bow_df = pd.DataFrame(X.toarray(), columns=vectorizer.get_feature_names_out())

bow_df

bow_df.sum(axis=0)

Understanding axis=0

The axis parameter in pandas determines the direction along which a function like sum() operates.

axis=0: This means you want to sum down the columns. So, for each column (which represents a word), you add up all the values in that column.
axis=1: This would sum across the rows. In this case, it would add up all the word counts in each row (which is not what we want here).

Why Use sum(axis=0)?

In the BoW (Bag of Words) model, each column of the DataFrame represents the count of a particular word. Since we’re interested in knowing how often each word appears in the entire document (or across multiple documents if there were more rows), we need to add up the counts in each column.

Let’s say you have a DataFrame that looks like this:

If you call bow_df.sum(axis=0), you are summing each column’s values:

For the “apple” column: The sum is 2.
For the “banana” column: The sum is 1.
For the “orange” column: The sum is 1.
So, the result of sum(axis=0) would be:

This tells you that “apple” appears 2 times, “banana” 1 time, and “orange” 1 time in the text. The axis=0 is crucial here because it sums down the columns to give you the total count of each word across the entire text.

Summary

axis=0: Adds up values in each column (which represents each word) to get the total frequency of that word across the entire text.
This is important because it helps us find out which words are most common in the text, which can then be used to analyze keyword usage for SEO purposes.

[ ]

# Sort words by frequency in descending order

word_frequencies = bow_df.sum(axis=0).sort_values(ascending=False)

word_frequencies

[ ]

import requests

from bs4 import BeautifulSoup

from sklearn.feature_extraction.text import CountVectorizer

import pandas as pd

# Step 1: Extract Text Content from a Website

def get_website_text(url):

try:

# Send an HTTP request to the website

response = requests.get(url)

# Parse the website’s HTML content

soup = BeautifulSoup(response.content, ‘html.parser’)

# Extract the text from the webpage

text = soup.get_text()

# Clean up the text by removing extra spaces, line breaks, etc.

clean_text = ‘ ‘.join(text.split())

return clean_text

except Exception as e:

print(f”Failed to retrieve content from {url}: {e}”)

return None

# Step 2: Create the BoW Model without Stop Words

def create_bow_model(text):

# Use CountVectorizer to create the BoW model, removing stop words

vectorizer = CountVectorizer(stop_words=’english’)

# Fit and transform the text into a BoW model

X = vectorizer.fit_transform([text])

# Convert the BoW model into a DataFrame for easier analysis

bow_df = pd.DataFrame(X.toarray(), columns=vectorizer.get_feature_names_out())

return bow_df

# Step 3: Analyze Word Frequencies

def analyze_word_frequencies(bow_df):

# Sort words by frequency in descending order

word_frequencies = bow_df.sum(axis=0).sort_values(ascending=False)

# Print the most common keywords (excluding stop words)

print(“Most Common Keywords:\n”)

print(word_frequencies.head(50)) # Top 50 most frequent meaningful words

return word_frequencies

# Step 4: Main Function to Run the Analysis

def analyze_website_content(url):

print(f”Analyzing content from: {url}\n”)

# This line calls the get_website_text(url) function to extract all the text from the specified website.

text_content = get_website_text(url)

if text_content: # This line checks if the text_content variable is not empty or None. This ensures that text was successfully retrieved from the website.

bow_df = create_bow_model(text_content) # This line calls the create_bow_model(text_content) function to convert the text into a Bag of Words (BoW) model.

analyze_word_frequencies(bow_df) #This line calls the analyze_word_frequencies(bow_df) function to find out which words are the most common in the text.

else:

print(“No content to analyze.”)

# Website URL for Analysis

website_url = ‘https://thatware.co/’ # ThatWare homepage

# Analyze the specified website

analyze_website_content(website_url)

Analyzing content from: https://thatware.co/

Most Common Keywords:

seo 122

services 52

ai 37

advanced 22

google 16

thatware 13

marketing 12

data 9

link 8

algorithms 8

content 8

development 8

building 8

based 8

search 8

algorithm 7

optimization 7

business 7

strategies 7

company 6

online 6

intelligence 6

page 6

media 6

digital 5

case 5

clients 5

science 5

strategy 5

best 5

diy 5

website 5

faq 5

time 4

agency 4

edge 4

nlp 4

artificial 4

provide 4

backlink 4

design 4

research 4

web 4

keyword 4

2024 4

site 4

india 4

success 4

contact 4

dtype: int64

[ ]

import requests

from bs4 import BeautifulSoup

from sklearn.feature_extraction.text import CountVectorizer

import pandas as pd

# Step 1: Extract Text Content from a Website

def get_website_text(url):

try:

response = requests.get(url)

soup = BeautifulSoup(response.content, ‘html.parser’)

# Extract text from the webpage

text = soup.get_text()

# Clean up the text by removing extra spaces, line breaks, etc.

clean_text = ‘ ‘.join(text.split())

return clean_text

except Exception as e:

print(f”Failed to retrieve content from {url}: {e}”)

return None

# Step 2: Create the BoW Model without Stop Words

def create_bow_model(text):

# Use CountVectorizer with stop words removed

vectorizer = CountVectorizer(stop_words=’english’)

# Fit and transform the text into a BoW model

X = vectorizer.fit_transform([text])

# Convert the BoW model to a DataFrame for easier analysis

bow_df = pd.DataFrame(X.toarray(), columns=vectorizer.get_feature_names_out())

return bow_df

# Step 3: Analyze Word Frequencies

def analyze_word_frequencies(bow_df):

# Sort words by frequency in descending order

word_frequencies = bow_df.sum(axis=0).sort_values(ascending=False)

# Print the most common words (excluding stop words)

print(“Most Common Keywords:\n”)

print(word_frequencies.head(20)) # Top 10 most frequent meaningful words

return word_frequencies

# Step 4: Main Function to Run the Analysis

def analyze_website_content(url):

print(f”Analyzing content from: {url}\n”)

text_content = get_website_text(url)

if text_content:

bow_df = create_bow_model(text_content)

analyze_word_frequencies(bow_df)

else:

print(“No content to analyze.”)

# Example URLs for Testing

websites = [‘https://thatware.co/’, # ThatWare homepage

‘https://www.seotechexperts.com/seo-agency-india.html’, # seotechexperts homepage

‘https://www.techwebers.com/’, # Techwebers homepage

‘https://www.incrementors.com/’ # incrementors homepage

]

# Test the code on example websites

for site in websites:

analyze_website_content(site)

print(“\n” + “=”*50 + “\n”)

Analyzing content from: https://thatware.co/

Most Common Keywords:

seo 122

services 52

ai 37

advanced 22

google 16

thatware 13

marketing 12

data 9

link 8

algorithms 8

content 8

development 8

building 8

based 8

search 8

algorithm 7

optimization 7

business 7

strategies 7

company 6

dtype: int64

==================================================

Analyzing content from: https://www.seotechexperts.com/seo-agency-india.html

Most Common Keywords:

seo 60

services 23

brand 14

provide 14

make 12

marketing 11

business 11

clients 10

experts 10

strategies 9

result 8

agency 7

industry 7

strategy 7

page 7

report 7

technical 7

project 7

professionals 7

time 6

dtype: int64

==================================================

Analyzing content from: https://www.techwebers.com/

Most Common Keywords:

seo 22

website 21

online 14

webers 12

tech 12

digital 10

help 8

divi 7

search 7

create 7

design 7

team 6

presence 6

marketing 6

web 6

engine 5

world 5

results 5

services 4

visibility 4

dtype: int64

==================================================

Analyzing content from: https://www.incrementors.com/

Most Common Keywords:

marketing 23

business 18

free 15

traffic 13

website 13

best 11

sales 11

services 10

strategy 10

digital 7

online 7

incrementors 7

customers 7

30 7

results 6

target 6

highly 6

minute 6

seo 6

team 6

dtype: int64

==================================================

1. Understanding the Content Focus

What It Means: The Bag of Words (BoW) analysis reveals the most frequently used keywords on a website, providing insight into the primary focus of the content.

Example: Analyzing the content from https://thatware.co/ shows that keywords like “SEO,” “services,” “AI,” and “advanced” appear most often. This suggests that the site emphasizes SEO services, AI technologies, and advanced strategies.

How It Helps:

Alignment with Business Goals: By examining if these keywords align with the site’s core offerings, the owner can verify whether the content matches their business focus. For example, if “SEO” and “AI” are primary services, the content is appropriately aligned. However, if the aim is to highlight different services, adjustments may be needed.

Attracting the Right Audience: Ensuring that the content features keywords relevant to what potential customers are searching for enhances the chances of attracting the right traffic.

2. Identifying Content Gaps or Overemphasis

What It Means: BoW analysis can pinpoint keywords that are either overly prominent or lacking in the content.

Example: If “SEO” appears 122 times while “digital marketing” only appears 5 times, this may indicate an overemphasis on SEO at the expense of other important services.

How It Helps:

Content Optimization: The website owner can balance keyword usage by increasing focus on underrepresented terms like “digital marketing” if it’s a key service. This adjustment helps create a more comprehensive content strategy.

Improving Keyword Density: The analysis aids in fine-tuning keyword density to avoid overuse (keyword stuffing) or underuse, ensuring that important terms are neither excessively repeated nor neglected.

3. Adjusting Content for Better User Engagement

What It Means: The BoW analysis can indicate whether the content effectively engages the target audience.

Example: Frequent keywords such as “strategy,” “best,” and “success” suggest that the content is geared towards strategic advice or success stories.

How It Helps:

Content Relevance: Adjusting content to align with audience interests ensures it remains relevant. For instance, if the objective is to generate more business inquiries, the content might need more actionable insights or strong calls to action.

User Retention: Content that effectively uses the right keywords can engage visitors longer, decreasing bounce rates and improving overall user retention.

[ ]

import requests

from bs4 import BeautifulSoup

from sklearn.feature_extraction.text import CountVectorizer

import pandas as pd

# Step 1: Extract Text Content from a Website

def get_website_text(url):

try:

response = requests.get(url)

# Parse the HTML content using BeautifulSoup with response.text

soup = BeautifulSoup(response.text, ‘html.parser’)

# Remove script and style elements to clean the content

for script_or_style in soup([‘script’, ‘style’]):

script_or_style.decompose()

# Extract the text content from the HTML

text = soup.get_text()

# Clean up the text by removing extra spaces, line breaks, etc.

clean_text = ‘ ‘.join(text.split())

return clean_text

except Exception as e:

print(f”Failed to retrieve content from {url}: {e}”)

return None

# Step 2: Create the BoW Model without Stop Words

def create_bow_model(text):

# Use CountVectorizer with stop words removed

vectorizer = CountVectorizer(stop_words=’english’)

# Fit and transform the text into a BoW model

X = vectorizer.fit_transform([text])

# Convert the BoW model to a DataFrame for easier analysis

bow_df = pd.DataFrame(X.toarray(), columns=vectorizer.get_feature_names_out())

return bow_df

# Step 3: Analyze Word Frequencies

def analyze_word_frequencies(bow_df):

# Sort words by frequency in descending order

word_frequencies = bow_df.sum(axis=0).sort_values(ascending=False)

# Print the most common words (excluding stop words)

print(“Most Common Keywords:\n”)

print(word_frequencies.head(20)) # Top 20 most frequent meaningful words

return word_frequencies

# Step 4: Main Function to Run the Analysis

def analyze_website_content(url):

print(f”Analyzing content from: {url}\n”)

text_content = get_website_text(url)

if text_content:

bow_df = create_bow_model(text_content)

analyze_word_frequencies(bow_df)

else:

print(“No content to analyze.”)

# Example URLs for Testing

websites = [‘https://thatware.co/’, # ThatWare homepage

‘https://www.wikipedia.org/’, # Wikipedia homepage

‘https://www.bbc.com/’, # BBC News homepage

‘https://www.nytimes.com/’ # New York Times homepage

]

# Test the code on example websites

for site in websites:

analyze_website_content(site)

print(“\n” + “=”*50 + “\n”)

Analyzing content from: https://thatware.co/

Most Common Keywords:

seo 122

services 52

ai 37

advanced 22

google 16

thatware 13

marketing 12

data 9

link 8

algorithms 8

content 8

development 8

building 8

based 8

search 8

algorithm 7

optimization 7

business 7

strategies 7

company 6

dtype: int64

==================================================

Analyzing content from: https://www.wikipedia.org/

Most Common Keywords:

ðºð 16

000 14

free 13

âµ 11

²à 10

¾à 10

èª 8

articles 8

ªà 7

ð¹ 7

wikipedia 7

bahasa 6

ð½ñ 5

english 5

ð²ð 5

à² 5

ðºñ 5

ina 4

ðµð 4

à½ 4

dtype: int64

==================================================

Analyzing content from: https://www.bbc.com/

Most Common Keywords:

hrs 38

days 16

says 10

mins 10

agous 9

olympics 9

paris 9

bbc 8

day 7

gender 6

olympic 6

town 5

medal 5

2024 5

ukraine 5

gold 5

family 5

week 5

new 4

trump 4

dtype: int64

==================================================

Analyzing content from: https://www.nytimes.com/

Most Common Keywords:

min 39

new 29

york 24

news 19

stories 14

world 11

included 10

learn 10

subscription 10

access 10

people 9

ideas 8

biggest 8

recommendations 8

day 7

make 7

tech 7

times 7

best 7

cooking 6

dtype: int64

==================================================

Explanation of Changes

Using response.text:
response.text retrieves the HTML content as a Unicode string, making it more convenient to process the text content of a webpage.

Removing <script> and <style> Elements:
The updated code now includes a loop that identifies and removes <script> and <style> elements using the decompose() method. This step ensures that JavaScript code and CSS styles, which are not part of the main content, are excluded from the text extraction process.

Text Extraction:
After cleaning the HTML content, the text is extracted using soup.get_text(), which provides a clearer focus on the actual content displayed on the webpage.

Why These Changes Are Useful:

Cleaner Text Extraction: By eliminating unnecessary elements like <script> and <style>, the extracted text more accurately reflects what users see on the page. This is essential for precise analysis, as it avoids the inclusion of irrelevant code or styles in your word frequency analysis.
Improved Analysis Results: With cleaner, more relevant text, the Bag of Words (BoW) model and subsequent word frequency analysis can concentrate on meaningful terms, enhancing the quality of insights derived from the content.

[ ]

import requests

from bs4 import BeautifulSoup

from sklearn.feature_extraction.text import CountVectorizer

import pandas as pd

import matplotlib.pyplot as plt

from wordcloud import WordCloud

# Step 1: Extract Text Content from a Website

def get_website_text(url):

try:

response = requests.get(url)

soup = BeautifulSoup(response.content, ‘html.parser’)

# Extract text from the webpage

text = soup.get_text()

# Clean up the text by removing extra spaces, line breaks, etc.

clean_text = ‘ ‘.join(text.split())

return clean_text

except Exception as e:

print(f”Failed to retrieve content from {url}: {e}”)

return None

# Step 2: Create the BoW Model without Stop Words

def create_bow_model(text):

# Use CountVectorizer with stop words removed

vectorizer = CountVectorizer(stop_words=’english’)

# Fit and transform the text into a BoW model

X = vectorizer.fit_transform([text])

# Convert the BoW model to a DataFrame for easier analysis

bow_df = pd.DataFrame(X.toarray(), columns=vectorizer.get_feature_names_out())

return bow_df

# Step 3: Generate Word Cloud from BoW Model

def generate_wordcloud(bow_df):

# Sum the occurrences of each word to get the total frequency

word_frequencies = bow_df.sum(axis=0).sort_values(ascending=False)

# Convert the word frequencies to a dictionary format

word_freq_dict = word_frequencies.to_dict()

# Generate the word cloud

wordcloud = WordCloud(width=800, height=400, background_color=’white’).generate_from_frequencies(word_freq_dict)

# Plot the word cloud

plt.figure(figsize=(10, 5))

plt.imshow(wordcloud, interpolation=’bilinear’)

plt.axis(‘off’) # Remove the axes

plt.show()

# Step 4: Main Function to Run the Analysis

def analyze_website_content(url):

print(f”Analyzing content from: {url}\n”)

text_content = get_website_text(url)

if text_content:

bow_df = create_bow_model(text_content)

generate_wordcloud(bow_df)

else:

print(“No content to analyze.”)

# Example URLs for Testing

websites = [

‘https://thatware.co/’, # ThatWare homepage

‘https://www.seotechexperts.com/seo-agency-india.html’, # SEO Tech Experts homepage

‘https://www.techwebers.com/’, # Techwebers homepage

‘https://www.incrementors.com/’ # Incrementors homepage

]

# Test the code on example websites

for site in websites:

analyze_website_content(site)

print(“\n” + “=”*50 + “\n”)

[ ]

import requests

from bs4 import BeautifulSoup

from sklearn.feature_extraction.text import CountVectorizer

import pandas as pd

import matplotlib.pyplot as plt

# Step 1: Extract Text Content from a Website

def get_website_text(url):

try:

response = requests.get(url)

soup = BeautifulSoup(response.content, ‘html.parser’)

# Extract text from the webpage

text = soup.get_text()

# Clean up the text by removing extra spaces, line breaks, etc.

clean_text = ‘ ‘.join(text.split())

return clean_text

except Exception as e:

print(f”Failed to retrieve content from {url}: {e}”)

return None

# Step 2: Create the BoW Model without Stop Words

def create_bow_model(text):

# Use CountVectorizer with stop words removed

vectorizer = CountVectorizer(stop_words=’english’)

# Fit and transform the text into a BoW model

X = vectorizer.fit_transform([text])

# Convert the BoW model to a DataFrame for easier analysis

bow_df = pd.DataFrame(X.toarray(), columns=vectorizer.get_feature_names_out())

return bow_df

# Step 3: Generate Bar Graph from BoW Model

def plot_bow_graph(bow_df):

# Sum the occurrences of each word to get the total frequency

word_frequencies = bow_df.sum(axis=0).sort_values(ascending=False)

# Select the top 20 keywords

top_keywords = word_frequencies.head(20)

# Plotting the bar graph

plt.figure(figsize=(12, 8))

plt.barh(top_keywords.index, top_keywords.values, color=’skyblue’)

plt.xlabel(‘Frequency’)

plt.ylabel(‘Keywords’)

plt.title(‘Top 20 Keywords by Bag of Words Frequency’)

plt.gca().invert_yaxis() # Invert y-axis to show the highest frequencies at the top

plt.show()

# Step 4: Main Function to Run the Analysis

def analyze_website_content(url):

print(f”Analyzing content from: {url}\n”)

text_content = get_website_text(url)

if text_content:

bow_df = create_bow_model(text_content)

plot_bow_graph(bow_df)

else:

print(“No content to analyze.”)

# Example URLs for Testing

websites = [

‘https://thatware.co/’, # ThatWare homepage

‘https://www.seotechexperts.com/seo-agency-india.html’, # SEO Tech Experts homepage

‘https://www.techwebers.com/’, # Techwebers homepage

‘https://www.incrementors.com/’ # Incrementors homepage

]

# Test the code on example websites

for site in websites:

analyze_website_content(site)

print(“\n” + “=”*50 + “\n”)

Bag of Words and SEO: Advanced Analysis Techniques for Improved Keyword Targeting – Next Gen SEO with Hyper Intelligence

SUPERCHARGE YOUR ONLINE VISIBILITY! CONTACT US AND LET’S ACHIEVE EXCELLENCE TOGETHER!

Objective and Purpose of the Project

Bag of Words (BoW) Concept

Understanding the Basics

Key Features of BoW

Analyzing a Website for SEO

Identifying Key Content Areas

Conducting Keyword Frequency Analysis

Evaluating Keyword Alignment

Optimizing for Better Results

Converting the Bag of Words Model to a DataFrame

Introduction to DataFrames

Transforming BoW Output

1. Understanding the Content Focus

How It Helps:

2. Identifying Content Gaps or Overemphasis

How It Helps:

3. Adjusting Content for Better User Engagement

How It Helps:

Explanation of Changes

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