A professional TF-IDF + Logistic Regression style-risk classifier for educational fake-news detection, with a Streamlit dashboard, honest evaluation, uncertainty handling, and leakage analysis.
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Updated
Aug 23, 2026 - Python
A professional TF-IDF + Logistic Regression style-risk classifier for educational fake-news detection, with a Streamlit dashboard, honest evaluation, uncertainty handling, and leakage analysis.
ANPS-TradeMeUp is an LLM-powered AI News Prediction System for short-to-medium term market forecasting, featuring real-time analysis and a Dash-based monitoring dashboard.
Stock price prediction using Bidirectional LSTM and sentiment analysis
This program uses Vader SentimentIntensityAnalyzer to calculate the news headline overall sentiment for a stock
Evidence-first news workspace: compare official vs market narratives, click any AI claim to the exact source sentence, and track how your judgment changes. Self-hosted — one-command demo, no API keys.
AgendaScope 观澜 · 全球议程设置监控平台:172 国 408 主流媒体实时采集,议题聚类/议程溯源/50精品监控对象社交图谱(每边带新闻证据)/数据开放API;L0-L3 结构化数据库 + 处理状态机 + 分布式任务队列,云端 2C2G 仅做存储与展示,本地算力机做采集与计算。
Find news articles, retrieves their content, matches keywords, and puts results on Raindrop.io
🤖 AI stock analysis desktop app — LLM sentiment, 13 master agents, quant scoring. US & A-shares
期货交易辅助 Claude Skill - 66个品种、18.7万条历史数据、1.5万条新闻,智能分析涨跌原因。
Automated NLP pipeline for news analysis with sentiment detection, topic modeling & summarization. Daily updates via GitHub Actions, 24/7 Streamlit dashboard on Railway.
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
AI-powered news analysis platform that summarizes articles and classifies their political perspective as Left, Center, or Right.
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.
Topic modelling and analysis of different UK newspapers, primarily using BERTopic
OSINT cross-event analysis: news + open sources → a scored knowledge graph. LLM entity/event extraction, TMFG themes, cross-story bridges, Louvain storylines, and evidence-backed ICD-203 claim verdicts.
Intelligent News Understanding System which classify any news headline or article into 10 categories, detect sentiment, and extract named entities using state of the art NLP.
Bilingual NLP tool for comparing how news outlets frame the same event through agency, wording, and coverage differences.
Train a model to categorize news articles, scrape and translate articles, and predict their categories using TensorFlow, Keras, and Google Translate API.
Local-first narrative intelligence for analyzing news framing, bias, persuasion, and source diversity with your own API keys.
News Analyzer is a Python-based project designed to analyze news articles and provide insights into their potential impact on Sri Lankan citizens.
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