Matrix-based News Aggregation to Explore Media Bias
A Dashboard which can be utilised by the Financial Analysts to analyse the market trends and news.
An auto-refreshing dataset of major news domains and their X (formerly Twitter) accounts, complete with real-time stats like follower counts and engagement metrics. Made for tracking media trends and analytics at scale.
Scraper for Google News articles with headline extraction, keyword targeting, and proxy support.
Tool for detecting bias towards entity/people in the news and highlight that to the reader in the form an attractive visualization
RESTful News Analytics Platform
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.
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.
Inspired by *Managing real-time risks and returns: The Thomson Reuters NewsScope Event Indices*
🌀 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.
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