Sentiment Analysis of Twitter Messages Using Hybrid Approach

Communication is an important component of our life. Through technology via social media, communication becomes more dynamic generating huge volume of data. Strategic part of information gathering is to focus on how other people think. There are so many opinion resources that are rapidly growing and popular in world such as online review sites and personal blogs. In this paper we focus on Microblogging site Twitter. Twitter is a platform that allow user to express his opinion on variety of entities such as product, services, organization, people etc. Each data represents sentiments toward a public issue. Sentiment analysis algorithms able classify whether positive, negative or neutral. In this paper combine more than one machine learning algorithms to enhance the performance of detection system. The proposed technique achieved more accuracy as compare to existing techniques.