SENTIMENT ANALYSIS USING MACHINE LEARNING APPROACH NEIVE BAYES CLASSIFICATION WITH STANDARD OPENION KEYWORD DICTIONARY

Abstract

This Sentiment Analysis is determining opinions, emotions and attitudes of a writer. Sentiment analysis task
classifying the polarity of a given text at the document or sentence is positive, negative or neutral. In this paper define a
standard opinion keyword dictionary.in there positive and negative word list. Each word to allocate hand ranked value
in between +5 to -5.we purpose an aspect of identification or classification task for machine learning approach for
sentiment sentences in review, comments, or tweet. Supervised classification algorithms, Naïve Bayes classifier is use to
finding an opinion positive, negative or neutral polarity.