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Created about 2 years ago
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arslanali4343

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The fundamental tasks of our project are: Classify the questions based on the labels into various categories Relevant question-answer retrieval using semantic similarity

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Beautiful Soup is packed with useful functionality to parse HTML data. It’s a trusted and helpful companion for your web scraping adventures. Its documentation is comprehensive and relatively user-friendly to get started with. You’ll find that Beautiful Soup will cater to most of your parsing needs, from navigating to advanced searching through the results. In this tutorial, you’ve learned how to scrape data from the Web using Python, requests, and Beautiful Soup. You built a script that fetches job postings from the Internet and went through the full web scraping process from start to finish. You learned how to: Inspect the HTML structure of your target site with your browser’s developer tools Gain insight into how to decipher the data encoded in URLs Download the page’s HTML content using Python’s requests library Parse the downloaded HTML with Beautiful Soup to extract relevant information.

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arslanali4343/Subjective-Exam-Chacking-

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