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news-analysis

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A complete NLP and Machine Learning project to detect fake and real news using TF-IDF and Logistic Regression. Includes full training pipeline, evaluation charts, and an interactive Streamlit web app for real-time credibility analysis. Dataset adapted from Kaggle’s Fake and Real News Dataset.

  • Updated Oct 26, 2025
  • Python

This repository contains a Python script that performs sentiment analysis on news articles related to Binance Coin (BNB). It fetches news articles from the CryptoCompare API and utilizes the Groq AI language model to analyze the sentiment of each article's title and body. The script classifies the sentiment as positive, negative, or neutral, and th

  • Updated Jun 14, 2024
  • Python

copyright-stats-extractor parses headlines/articles on digital copyright enforcement to auto‑extract stats like takedown counts, year, and parties.

  • Updated Dec 22, 2025
  • Python

SAT News Analyser is a web application offering in-depth news article analysis with features like sentiment analysis, genre detection, POS tagging, and reading time estimation. Supports URL-based content extraction, Google OAuth authentication, article history, and text-to-speech functionality. Built with Flask, PostgreSQL, and NLTK.

  • Updated May 6, 2025
  • HTML

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