I'm working with datumbox ml framework for sentiment analysis.Here the git link. I found a sentiment Ml code in code examples of frame work here is the code example link. I want to use same code for twitter-sentiment But in the code example,only two training datasets are used pos,neg But for Twitter sentiment analysis,I want to include Neutral sentiment also.I do have my own training datasets of pos & neg tweets but I don't any Neutral datasets.
My doubt is :
1) Do I need to feed neutral training dataset for giving the neutral sentiment? or
2) Do I need to predict neutral sentiment based on positive & negative training sets.if I need go for predicting then I need an idea on how to do that?