This program goes thru reddit, finds the most mentioned tickers and uses Vader SentimentIntensityAnalyzer to calculate the ticker compound value.

Program that performs textual analysis of Reddit data (approx. 300 GB) preprocessed by another team member. Uses Hadoop's Mapreduce to classify comments as either positive or negative based on certain keywords, negation, etc.

Analysis of social media conversations surrounding COVID-19 in Singapore

Built an end-to-end Reddit sentiment analysis pipeline using NLP techniques, integrating DVC for data versioning and MLflow for experiment tracking to ensure reproducibility and efficient model comparison.

Top AI Crypto Sentiment Tracker 2026 🚀 - Real-Time Social Signals for Market Timing

A full data pipeline and analytics dashboard designed to help political campaigns understand voter sentiment in real time. Features include: Reddit data collection, NLP preprocessing, transformer sentiment models, weekly trend detection, issue prioritization scoring, and an interactive Streamlit interface for strategic insights.