SentimentAnalysisBTCPrice Repository

This project proposes a model to analyze through Machine Learning techniques the impact of social media (Twitter) on the opening price of Bitcoin, and predict its future values.

Requirements

• Python
• Anaconda (Jupyter Notebook)

Overview

• Algorithms used to obtaing a weighting of the sentiment for each tweet:
  • Sentiment Analysis
• Algorithms used to predict the opening price of Bitcoin:
  • Linear Regression
  • Random Forest Regression
  • K-Nearest Neighbors Regression
  • Support Vector Regression (SVR)
• Algorithms to select the best model
  • Error %
  • Root-mean-square deviation (RMSE)
  • R2 score