Through API I have scraped twister posts from twister API (containing only texts in the posts) and NO OTHER INFORMATION. I want to perform sentiment analysis which involve creating a post classification model that categorizes each of the Facebook posts in three category: positive comment, neutral comment and negative comment.
Which machine learning method should I use? Should I use Support Vector Machine or Naïve Bayes?