The survey of sentiment and opinion mining for behavior analysis of social media

TL;DR

This paper surveys sentiment and opinion mining techniques on social media data, highlighting their applications in understanding user behavior and providing a comparative analysis of various methods.

Contribution

It offers a comprehensive review of existing sentiment and opinion mining methods for social media behavior analysis, including their advantages and disadvantages.

Findings

Summarizes various sentiment analysis techniques used on social media data.

Provides a comparative evaluation of methods' effectiveness and limitations.

Highlights challenges and future directions in social media opinion mining.

Abstract

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.