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

机译:移动社交网络中基于信任链的情感传递估计方案

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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.
机译:用户情感分析已成为数据挖掘移动社交网络平台中蓬勃发展的前沿,因为移动社交网络在用户的日常交流和情感互动中起着重要作用。本研究通过使用用户的可信赖关系来评估情绪传递,从而研究情绪估算方案。首先,我们概述了情感传递估计方案,并提出了它的相关定义,即用户之间的信任链,情感语义和情感本体。其次,本研究提出了一种信任链模型及其评估方法,它由原子,串行,并行和组合信任链的评估组成。然后,通过提出其建模规则,提出情感建模方法。此外,我们基于信任链和情感建模方法,从显式和隐式情感传递估计方案两个方面提出了情感传递估计方案。最后,给出了检查和结果以进一步说明我们方案的有效性和可行性。

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