This project uses the Python libraries Tweepy, TextBlob, and NLTK to perform sentiment analysis on tweets about the cryptocurrencies DOGE and SHIB. The goal of this analysis is to understand the overall sentiment towards these cryptocurrencies on Twitter.
Text: the text of the tweet polarity: the polarity of the tweet (-1 to 1, where -1 is negative and 1 is positive) subjectivity: the subjectivity of the tweet (0 to 1, where 0 is objective and 1 is subjective) cryptocurrency: the cryptocurrency the tweet is about (DOGE or SHIB)
Note This project was designed for educational purposes and should not be used for financial decision making. Twitter data is often not reliable source of information and should be used with caution.