Abstract
Abstract: This Python script defines a Flask web application enabling users to input a URL. The application fetches the webpage content and utilizes TF-IDF (Term Frequency-Inverse Document Frequency) analysis to extract information like the title, description, and top keywords. The / route renders an HTML template (index.html) for user input, while the /extract route handles a POST request, fetching the webpage content, extracting relevant information using TF-IDF analysis, and rendering the results in another HTML template (result.html). The TF-IDF process involves tokenizing the text, eliminating stopwords, and calculating TF-IDF scores for each term. The top 10 keywords are then extracted based on their TF-IDF scores. The script also incorporates error handling for cases where the webpage cannot be fetched or an exception occurs during the process.
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