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newspaper3k

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This demo repository illustrates how to use Python to scrape news articles from Google based on a given keyword. The scraped articles are then processed by Azure OpenAI Service (AOAI)'s GPT-3 model, which generates concise summaries of the main points. The summaries are then formatted and sent via email using MailJet API.

  • Updated Apr 22, 2023
  • Jupyter Notebook

The program can be used to scrape the content from an article from web by an input of a set of URLs in a text file or a URL. This project uses newspaper3k and python-docx libraries. The output of this program will give a neatly modified Word Document in '.docx' format with the contents of the article.

  • Updated Aug 5, 2020
  • Python

WebApp to bring together Text Summarization and Sentiment Analysis of the stock related news to better understand the stock price trends.

  • Updated May 6, 2022
  • Jupyter Notebook

Developed a machine learning model to detect media bias in news articles. Employed natural language processing techniques to analyze text content and classify sources into unbiased, left-leaning, or right-leaning categories. This project enhanced my expertise in text analysis and understanding of media landscape.

  • Updated Dec 1, 2023
  • Python

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