Stanford NLP core Sentiment Analysis using Naive Bayes and SVM classifierJava

Question

Hi I am new to Sentiment Analysis and I am currently using StanfordNLP core api. I am able to get sentiments from sentences, positive, neutral and negative. Is there any examples I could follow in using the different classifier algorithms provided by the api, such as Naive Bayes and SVM to get the different sentiment score for comparisons. Thank you.

Answer 1

There are currently no other algorithms supported for sentiment analysis. You can, however, train your own without too much difficulty: bigram features with a simple classifier work quite well for sentiment tasks.