Research on Tweet Sentiment Analysis Based on VADER in the Field of Cryptocurrency

Abstract

This research aims to develop a tool to assess the impact of social media on the market by collecting and analyzing cryptocurrency-related tweets on Twitter.Python and relevant libraries are utilized for scraping tweets and cryptocurrency trading data, followed by data preprocessing.The VADER model is then employed for sentiment analysis of the tweets, extracting sentiment polarity and intensity.Considering the influence of tweets, an overall sentiment score is calculated.