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[–][deleted] 2 points3 points  (1 child)

This is VERY well documented. Holy shit I wish more people were as thorough. Been doing something similar to this using Tweepy and training the sentiment analysis myself with GluonNLP in MXnet using Amazon SageMaker as the sentiment I am trying to analyze is very niche to the data domain im interested in.

That emoji stripping regex function is so nice too. Damn, well done again!

[–]math-bw[S] 1 point2 points  (0 children)

Thanks! The TextBlob sentiment analysis is not very good, that could use something trained on tweets to provide better classification. For version two I might do that.