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.

Stock price prediction using Bidirectional LSTM and sentiment analysis

This program uses Vader SentimentIntensityAnalyzer to calculate the news headline overall sentiment for a stock

Find news articles, retrieves their content, matches keywords, and puts results on Raindrop.io

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

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.

NewsBot is an AI-powered Q&A tool that answers questions from uploaded PDFs or web article URLs using LangChain, OpenAI, and Streamlit.

Topic modelling and analysis of different UK newspapers, primarily using BERTopic

Train a model to categorize news articles, scrape and translate articles, and predict their categories using TensorFlow, Keras, and Google Translate API.

News Analyzer is a Python-based project designed to analyze news articles and provide insights into their potential impact on Sri Lankan citizens.

一个基于 Python 和 PyQt5 的新闻聚合与分析系统，集成了 RSS 和澎湃新闻源，利用大语言模型（LLM）提供智能聊天、新闻摘要、深度分析等功能。支持新闻搜索、分类、过滤、浏览历史、新闻源管理以及数据导入导出。

Automated NLP pipeline for news analysis with sentiment detection, topic modeling & summarization. Daily updates via GitHub Actions, 24/7 Streamlit dashboard on Railway.

Sustainability Rating of Companies through AI-based News Analysis. Backend. Part of Bachelor's thesis.

Technical analysis of news sequence

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

An AI-powered Fake News Detector that helps students identify misinformation. Built with Python, scikit-learn, and Streamlit, it classifies news articles as Real or Fake using a trained ML model. Simple, fast, and extendable with advanced NLP for accurate, trustworthy results.

Hierarchical GNN for fake-news detection on NELA-GT-2022: multi-level graphs (word, sentence, article + metadata) + MLflow, baselines & explainability.

An end-to-end NLP and Machine Learning project for fake news detection using TF-IDF and Logistic Regression, featuring a complete training pipeline, evaluation visuals, and a Streamlit web app for real-time news credibility analysis. Dataset adapted from Kaggle.

Stock Market Prediction using GNNs

Media Literacy System powered by AI - Analyze news for bias and manipulation.