Skip to content

Latest commit

 

History

History
12 lines (11 loc) · 585 Bytes

README.md

File metadata and controls

12 lines (11 loc) · 585 Bytes

Our program tracks hundreds of celebrities' accounts on twitter, (including Musk, of course) and analyses every tweet they send in order to see whether they are talking about a Cryptocurrency or not. If they are, we run a sentiment-analysis to check if their impression is a positive or a negative one. When finished, another twitter account ( @CryptoAdvisor14 ) will send a tweet about what currency is being talked about and the mood of the twit detected. "main code" is the main program.

Necessary libraries: tweepy, pandas, numpy, random, nltk, tensorflow, pickle, python-binance