Description

Today social networking websites has evolved to become a source of various kind of information. This is because of the nature of these websites on which peoples comments and post their opinions on different types of topics i.e. they express positive or negative sentiments about any product that they use in daily life, complains and current issues etc. These sentiments help in getting information about various current trends and can be used further in deciding usefulness of some tasks, products and themes. Also social web data like twitter has a large amount of data that people post so it’s become important to work on efficient intelligent systems that can do data refinement, analysis of tasks intelligently and efficiently. This paper presents a comprehensive overview of past and current research on twitter sentiment analysis and identifies outstanding research questions for the future.