Title :
RepComment: A Fair Comment-Sentiment Representation System
Author :
Ting Wu ; Chun Yin Tan ; Ming Yip Cheung ; Pan Hui
Author_Institution :
Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
Abstract :
Most Online Social Networks (OSNs) allow registered members to leave comments on particular entities. An entity can either be a person, a location, or a product. These comments have already become an important reference for many people in the daily life. However, a popular entity usually receives an extensive number of comments and it has become infeasible for users to read through all of them. In this demonstration, we propose Rep Comment, a fair comment-sentiment representation system based on a novel probability sampling model that can choose a small set of comments (samples) that are most resemble and representative for the original comment set. The proposed approximation algorithm significantly reduces the computation cost of the sampling problem while keeping relatively high accuracy.
Keywords :
approximation theory; data mining; information filtering; probability; sampling methods; social networking (online); OSN; RepComment; approximation algorithm; fair comment-sentiment representation system; online social network; probability sampling model; Accuracy; Approximation algorithms; Approximation methods; Crawlers; Distance measurement; Optimization; Social network services; Comment Sampling; Online Social Network; Probability Model;
Conference_Titel :
Data Mining Workshop (ICDMW), 2014 IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4799-4275-6
DOI :
10.1109/ICDMW.2014.22
