The survey of sentiment and opinion mining for behavior analysis of social media
It addresses the need for comprehensive analysis in behavior prediction for social media users, but it is incremental as it reviews existing methods without introducing new techniques.
This paper presents a survey comparing methods for sentiment and opinion mining to analyze user behavior on social media, aiming to provide detailed information on their pros and cons.
Nowadays, internet has changed the world into a global village. Social Media has reduced the gaps among the individuals. Previously communication was a time consuming and expensive task between the people. Social Media has earned fame because it is a cheaper and faster communication provider. Besides, social media has allowed us to reduce the gaps of physical distance, it also generates and preserves huge amount of data. The data are very valuable and it presents association degree between people and their opinions. The comprehensive analysis of the methods which are used on user behavior prediction is presented in this paper. This comparison will provide a detailed information, pros and cons in the domain of sentiment and opinion mining.