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

Abstract

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 overviewof 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 chainmodel and its evaluation method, which is composed of evaluation of atomic, serial, parallel, and combined trust chains.Then, we propose sentimentmodelingmethod by presenting itsmodeling rules. Further, we propose the sentiment delivering estimate scheme fromtwo 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.