This project aims to forecast Bitcoin prices by analyzing Twitter sentiment data. By combining machine learning techniques with sentiment analysis, we can identify leading indicators that correlate with Bitcoin price movements. The project uses various natural language processing models and forecasting methods to enhance prediction accuracy.

No description available

The Bitcoin Price Prediction from Tweet Analysis project integrates historical price data with Twitter sentiment analysis to improve forecasting accuracy. Using LSTM and Linear Regression, it explores the influence of public sentiment on Bitcoin's price trends, revealing insights into how social media may impact cryptocurrency markets.