Evolutionary summary and visualization of social comments

Abstract

User Generated Contents are increasing rapidly among social networking sites such as Facebook, Twitter, and Instagram. Users in the Internet does not have the time to read all the posts, comments and replies and users also do not have the freedom to choose the comments they are interested to read. To address this problem, this project aims to propose a web application which will summarized the data associated with social web post and comments, analysed those uncategorized summarized data into evolutionary summary and visualized those summaries in various graphical forms to assist the user to understand the comments they are interested and also filter them in terms of the summarizes generated by our system called Social Comments Visualization System (SCVS).