Twitter Sentiment Analysis of CryptoCoins
I’ve been learning data analysis tools for a variety of new research projects. My main platform as of now is R. In order to learn R I decided to try to run sentiment analysis on groups of tweets.
I chose cryptocurrencies & digital assets because they are fun and interesting, and they should vary every day (or minute these days).
These analyses are from the most recent 500 tweets (at time of analysis) mentioning four major digital assets: Bitcoin, Ethereum, Litecoin, and Tezos. The sentiment analysis mines the tweets for trigger words that indicate general positive and negative sentiment.
Here are distributions of the scores for each:

Here are the overall averages for each digital asset:

We can also learn about the extreme sentiment values to see who has the most positive and negative mentions:


This analysis is, of course, very limited in sample (size and method). I just grabbed the @ mentions for four digital assets, not anything about any of the major movers, core devs, founders, or exchanges.
Could be interesting though…
