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 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

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.

Technical analysis of news sequence

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

NewsAutoAnalysisUKR scrapes, analyzes, and summarizes Ukraine War news articles using Python libraries and OpenAI's GPT. It offers visualizations like word clouds and frequency charts, providing in-depth media coverage insights.

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

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

Stock Sentiment Analysis using News Headlines This project analyzes stock market trends by classifying news headlines into positive or negative sentiments using a RandomForest Classifier. Achieved 84.1% accuracy with feature extraction using Bag of Words. Technologies: Python, Scikit-Learn, Pandas.