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Mobile Information Systems
Volume 2015 (2015), Article ID 745095, 20 pages
Research Article

A Sentiment Delivering Estimate Scheme Based on Trust Chain in Mobile Social Network

1College of Electronics and Information Engineering, Tongji University, Shanghai 200092, China
2College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China

Received 5 July 2015; Revised 20 September 2015; Accepted 27 September 2015

Academic Editor: Jose Juan Pazos-Arias

Copyright © 2015 Meizi Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


User sentiment analysis has become a flourishing frontier in data mining mobile social network platform since the mobile social network plays a significant role in users’ daily communication and sentiment interaction. This study studies the scheme of sentiment estimate by using the users’ trustworthy relationships for evaluating sentiment delivering. First, we address an overview of sentiment delivering estimate scheme and propose its related definitions, that is, trust chain among users, sentiment semantics, and sentiment ontology. Second, this study proposes the trust chain model and its evaluation method, which is composed of evaluation of atomic, serial, parallel, and combined trust chains. Then, we propose sentiment modeling method by presenting its modeling rules. Further, we propose the sentiment delivering estimate scheme from two aspects: explicit and implicit sentiment delivering estimate schemes, based on trust chain and sentiment modeling method. Finally, examinations and results are given to further explain effectiveness and feasibility of our scheme.