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#

news-analytics

Here are 17 public repositories matching this topic...

📰 Python Google News scraper for headlines, summaries & sources. Media monitoring, trend analysis with proxy rotation & automated CSV export.

  • Updated May 13, 2025
  • Python

Fake News Detection system using NLP techniques and TF-IDF vectorization to classify news articles as real or fake. Trained with Logistic Regression and SVM on the Fake and Real News Dataset, with preprocessing, evaluation metrics, and word cloud visualizations.

  • Updated Aug 13, 2025
  • Python

Smart Article Summarizer is a lightweight AI-powered web app that extracts and summarizes the content of any article from the internet. It uses newspaper3k for article parsing and a Large Language Model (LLM) via LangChain and OpenAI to generate concise summaries in natural language.

  • Updated May 27, 2025
  • Python

This project documents the development of a Python-based Forex trading algorithm that integrates technical indicators and news analytics to automate trading strategies on MetaTrader 5.

  • Updated Apr 25, 2025

Python notebook-driven workflow that fetches and processes news headlines for publicly traded companies, applies NLP and sentiment analysis to each headline, and then aligns those sentiment scores with historic stock-price data to explore whether positive or negative media coverage correlates with market movements.

  • Updated Oct 21, 2025
  • Jupyter Notebook
xsukax-RSS-Feeds-Arabic-AI-Summarizer

A sophisticated, client-side RSS feed aggregator and AI-powered summarization tool that translates news articles into Arabic and generates comprehensive summaries using advanced language models. Built with privacy and security as core principles, this application runs entirely in your browser without requiring any backend infrastructure.

  • Updated Oct 14, 2025
  • HTML

🌀 Recursive Currents is a data-driven exploration of global news, clustering 50,000+ articles by shared named entities (people, places, organizations). It reveals how world narratives connect—across borders, topics, and timelines—through the names that keep appearing together. Built with Python, scikit-learn, and Plotly.

  • Updated May 25, 2025
  • Jupyter Notebook

End-to-end NLP project with news scraping from major Colombian outlets. Includes preprocessing, topic classification (MLP, SVM, RF), sentiment analysis with BETO, and NER. Features interactive visualizations to explore trends, emotions, and key actors in Colombian media.

  • Updated Oct 4, 2025
  • Jupyter Notebook

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