Online Analysis of Sentiment on Twitter

Social media such as Twitter create space to explain the thoughts and opinions on various topics and different events, millions of users can share their ideas in this Micrblog, Therefore Twitter is converted as a source to exploration of information; make a decision and an analysis of sentiment. There is a sense in all of the texts, but it is more important to provide strategies for obtaining suitable forecasting and optimized usage of information for forecasting sentiment. Also twitter information follows the stream model. In this model, data were arrived at high speed to destination. As a result, data mining algorithm should be able to predict user feeling in immediate time under limited space and time. The purpose of this paper is to examine the previous works online analysis of sentiment on Twitter.