Stock price prediction using Bidirectional LSTM and sentiment analysis

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

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.

Find news articles based on keywords, read matches on Raindrop.io / GetPocket.com

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

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

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

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。

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

Technical analysis of news sequence

Use Generative AI to summarize every article of an RSS feed with 3 different angles to create a very own, newspaper-like experience.

Named Entity Recognition (NER) on news articles using rule-based and spaCy models. Includes entity extraction, visualizations with displaCy, and comparison of small vs large spaCy models for analysis and insights.

Repo for news article sentiment analysis, backend for Lex Hack project

Tool that allows characterizing territorial issues through news processing. It performs topic clustering, sentiment analysis, and data analysis using BERTopic & ChatGPT.

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

Stock Market Prediction using GNNs

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.