DESCRIPTION:-
I've used spacy and sklearn to do sentiment analysis of twitter data from kaggle.
Cleaned the data using regex and removed stopwords using spacy stop words.
lemmatized the text and the used TFIdfVectorizer
Decoded unicodes to actual strings using unicodedata library
Created new feature called no of hashtags counting the number of hashtags in each tweet
Added all the above preprocessing steps and created a function out of it
Here is the interactive link to binder where you can run it yourself
