TY - GEN
T1 - A novel opinion analysis scheme using social relationships on microblog
AU - Fu, Meng Hsuan
AU - Chen, Ling Yu
AU - Lee, Kuan Rong
AU - Kuo, Yaw Huang
N1 - Funding Information:
This study was supported by the National Science Council, Taiwan, under grant No. NSC 97-2221-E-006-144-MY3.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84867050658&partnerID=8YFLogxK
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U2 - 10.1007/978-94-007-4516-2_73
DO - 10.1007/978-94-007-4516-2_73
M3 - Conference contribution
AN - SCOPUS:84867050658
SN - 9789400745155
T3 - Lecture Notes in Electrical Engineering
SP - 687
EP - 695
BT - Future Information Technology, Application, and Service, FutureTech 2012
T2 - 7th FTRA International Conference on Future Information Technology, FutureTech 2012
Y2 - 26 June 2012 through 28 June 2012
ER -