Sentiment Analysis


I want to run some sentiment analysis using metapy toolkit. I am a little confuse on how use metapy for this, my initial thought was to load up all the documents in a line corpus and then run something like naive bayes to see if we can predict if the comments are positive or negative.

Any help will be appreciative.


That sounds reasonable. You will need some labeled training data to do something like this, but you can certainly train a classifier for a binary classification task (positive vs. negative sentiment) for this.