TWITTER SENTIMENT ANALYSIS WITH ENHANCED REDUCTION OPTIMIZATION

Abstract

Sentiment analysis, is also referred to as opinion mining, a sub machine learning task. Using machine learning techniques and natural language processing we can extract the subjective information of a document and try to classify it according to its polarity such as positive, neutral or negative. Here, classification is performed on the tweets from Twitter to classify positive sentiment from others by building a model based on probabilities. Twitter is a micro blogging website where people can share their feelings quickly and spontaneously by sending tweets limited by 140 characters. One can directly address a tweet to someone by adding the target sign @ or participate in a topic by adding a hashtag # to the tweet. Because of the usage of Twitter, it is a perfect data source to determine the current overall opinion about anything.