Hey all, I’m participating in a contest where we have to do sentiment analysis on drug reviews. It has three categories as outputs : positive, negative, neutral.

I’ve done the basics pre- processing, tf-idf vectorizer etc. I’m now on the model application process. Can you suggest some best practices that I might have missed?

I’ve tried out many models like Logistic Regression, LinearSVM, Randomforest etc. LR came out the best. If I improve my f1score by 0.1 I might actually win the contest. Can you please help? It’s currently at 0.54