{"id":26446564,"url":"https://github.com/geetisha/web-scraping-and-sentiment-analysis","last_synced_at":"2026-04-08T22:32:14.128Z","repository":{"id":283041192,"uuid":"945377528","full_name":"geetisha/Web-Scraping-and-Sentiment-Analysis","owner":"geetisha","description":"Web Scraping and Sentiment Analysis","archived":false,"fork":false,"pushed_at":"2025-03-18T08:48:09.000Z","size":36,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-18T09:38:04.210Z","etag":null,"topics":["jupyter-notebook","matplotlib","nltk","numpy","pandas","python","seaborn","selenium","vader-sentiment-analysis"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/geetisha.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-03-09T09:20:38.000Z","updated_at":"2025-03-18T08:48:37.000Z","dependencies_parsed_at":"2025-03-18T09:38:10.091Z","dependency_job_id":"60d15b2b-a7ae-4b1d-bc05-08c35043e178","html_url":"https://github.com/geetisha/Web-Scraping-and-Sentiment-Analysis","commit_stats":null,"previous_names":["geetisha/web-scraping-and-sentiment-analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geetisha%2FWeb-Scraping-and-Sentiment-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geetisha%2FWeb-Scraping-and-Sentiment-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geetisha%2FWeb-Scraping-and-Sentiment-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geetisha%2FWeb-Scraping-and-Sentiment-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/geetisha","download_url":"https://codeload.github.com/geetisha/Web-Scraping-and-Sentiment-Analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244217953,"owners_count":20417677,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["jupyter-notebook","matplotlib","nltk","numpy","pandas","python","seaborn","selenium","vader-sentiment-analysis"],"created_at":"2025-03-18T12:18:36.406Z","updated_at":"2025-10-29T17:08:21.438Z","avatar_url":"https://github.com/geetisha.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# **Web Scraping and Sentiment Analysis**\n\n## **Project Overview**\nThe **Web Scraping and Sentiment Analysis** project involves extracting customer reviews from e-commerce websites using **Python and Selenium** and analyzing their sentiment to derive meaningful business insights. The project focuses on understanding customer opinions, categorizing reviews into positive, negative, and neutral sentiments, and visualizing trends that can help improve product offerings and customer satisfaction.\n\n## **Objectives**\n- **Web Scraping:** Extract product reviews from an e-commerce website using **Selenium**.\n- **Data Cleaning \u0026 Preprocessing:** Handle missing values, remove duplicates, and clean text data.\n- **Sentiment Analysis:** Use **Natural Language Processing (NLP)** techniques to classify reviews as **positive, negative, or neutral**.\n- **Visualization \u0026 Insights:** Generate charts and graphs using **Matplotlib \u0026 Seaborn** to showcase sentiment trends.\n- **Business Recommendations:** Provide insights to help businesses improve customer satisfaction and product quality.\n\n## **Tools \u0026 Technologies Used**\n- **Python** for scripting and data processing\n- **Selenium** for web scraping\n- **Pandas \u0026 NumPy** for data manipulation\n- **NLTK or Vader** for sentiment analysis\n- **Matplotlib \u0026 Seaborn** for data visualization\n- **Jupyter Notebook** for interactive analysis\n\n## **Key Analysis \u0026 Insights**\n- **Customer Feedback Trends:** Identify the overall sentiment distribution among customer reviews.\n- **Product Performance:** Analyze which products receive the most positive or negative feedback.\n- **Customer Pain Points:** Identify common issues faced by customers based on negative reviews.\n- **Market Strategy Optimization:** Use sentiment insights to improve marketing strategies, customer engagement, and product quality.\n\n## **Results \u0026 Business Impact**\n- Helps businesses **understand customer satisfaction levels** through sentiment trends.\n- Assists in **product improvement** by identifying common complaints and suggestions.\n- Supports **data-driven decision-making** by providing actionable insights for better marketing and customer service strategies.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgeetisha%2Fweb-scraping-and-sentiment-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgeetisha%2Fweb-scraping-and-sentiment-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgeetisha%2Fweb-scraping-and-sentiment-analysis/lists"}