Sentiment Analysis using Naïve Bayes Classifier
International Journal of Innovations in Engineering and Technology · 2017
In recent years, the remarkableexpansion of web technologies, lead to an massive quantity of user generated information in online systems.This large amount of information on web platforms make them viable for use as data sources, in applications based on opinion mining and sentiment analysis.Sentiment analysishas become a vital part in today's era.Post massiveexpansion of web technology, reviews existing on net are in surplus quantity.It wouldbe more helpful to an individual or organization if these opinions serve accurate sentiment of the whole review/document.This paper implements naïve Bayes algorithm to categorize the sentence in positive, negative and neutral precisely.So,weexecuted the proposed technique and we evaluated its performance, and suggested instructions of enhancement.