A novel opinion analysis scheme using social relationships on microblog

Meng Hsuan Fu, Ling Yu Chen, Kuan Rong Lee, Yaw Huang Kuo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

A novel scheme that employs content of posts and social relationships to analyze user opinion on microblog is proposed in this paper. Unlike traditional approaches focus on posts, this research regards user as an analysis unit to investigate sentiment classification on a specific topic. In aspect of textual sentiment classification, opinion of posts is classified with Bayesian or LibSVM tools. In addition, two types of social relationships (friends and fans) are adopted to construct an indirect graph of social network separately. The aim of this paper is to leverage user neighbors to overcome the challenge that posts are often too short and ambiguous to analyze opinions. Simultaneously, we deeply consider influential degree through interactions between two humans. In our experiment, Plurk, a popular microblog in Asia is employed as resource to achieve topic-dependent opinion analysis.

Original languageEnglish
Title of host publicationFuture Information Technology, Application, and Service, FutureTech 2012
Pages687-695
Number of pages9
EditionVOL. 1
DOIs
Publication statusPublished - 2012 Oct 9
Event7th FTRA International Conference on Future Information Technology, FutureTech 2012 - Vancouver, BC, Canada
Duration: 2012 Jun 262012 Jun 28

Publication series

NameLecture Notes in Electrical Engineering
NumberVOL. 1
Volume164 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Other

Other7th FTRA International Conference on Future Information Technology, FutureTech 2012
CountryCanada
CityVancouver, BC
Period12-06-2612-06-28

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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    Fu, M. H., Chen, L. Y., Lee, K. R., & Kuo, Y. H. (2012). A novel opinion analysis scheme using social relationships on microblog. In Future Information Technology, Application, and Service, FutureTech 2012 (VOL. 1 ed., pp. 687-695). (Lecture Notes in Electrical Engineering; Vol. 164 LNEE, No. VOL. 1). https://doi.org/10.1007/978-94-007-4516-2_73