Stock Sentiment Analysis

• Tech Stack: Python, scikit-learn, numpy, pandas
• Github URL: Project Link

Stock Sentiment Analysis is a project that utilizes natural language processing (NLP) techniques to analyze and predict the sentiment of news articles, social media posts, and other textual data related to stocks and financial markets. The aim of this project is to help investors and traders make informed decisions by understanding the overall sentiment surrounding a particular stock or market.