A Survey on Twitter Sentiment Analysis

Social Networks are the main source of user opinions about event and product. Extracting user sentiment from their comments in social networks very helpful for companies and governments for their development plan. Twitter consists of billions of user and their opinions and it is a good source for sentiment analysis. Lots of works proposed in recent years about sentiment analysis in twitter. Various methods are used to develop a SA method such as NLP based, Machine learning based and hybrid methods. But, all of these methods don’t satisfy all requirements of this research area. In this report we try to review the important solutions are proposed for this problem. This paper consists of five categories: 1) to introduce and to orientate with the field of sentiment analysis in twitter social networks 2) to review the works done in the area of SA 3) to introduce conferences related to the field of SA in recent years that hold competitions with their results and their best practices offered 4) to introduce available datasets 5) to introduce a few available mash-ups.