Community post
Using Python to track twitter sentiment about cryptocurrencies
Open source project for monitoring twitter sentiment and predicting hype-induced breakouts. Written in Python! If you have any questions just ask :)
https://github.com/Crypto-AI/Stocktalk
Replies (2)
The real time feature is very cool. But when I went through the code. Something catch my attention.
The model used in Stocktalk is nltk.sentiment.sentiment_analyzer module. In the documentation, we can see that the tool is not really state-of-the-art.
The real-time request and pyplot is very sophisticated and efficient. I would like to see if the developer can create a Stocktalk 2.0 featuring a more mature technique like wod2vec
Why would wod2vec be superior to NLTK? NLTK is not just used for teaching purposes, it's widely regarded as one of the best open source libraries for NLP. The model uses NLTK, yes, but NLTK is a massive library. It specifically uses the Vader Sentiment trained model which is an amazing source of data with thousands and thousands of data points.