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首页> 外文期刊>Journal of the American Society for Information Science >Topic-Level Opinion Influence Model (TOIM): An Investigation Using Tencent Microblogging
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Topic-Level Opinion Influence Model (TOIM): An Investigation Using Tencent Microblogging

机译：主题级意见影响模型（TOIM）：使用腾讯微博的调查

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摘要

Text mining has been widely used in multiple types of user-generated data to infer user opinion, but its application to microblogging is difficult because text messages are short and noisy, providing limited information about user opinion. Given that microblogging users communicate with each other to form a social network, we hypothesize that user opinion is influenced by its neighbors in the network. In this paper, we infer user opinion on a topic by combining two factors: the user's historical opinion about relevant topics and opinion influence from his/her neighbors. We thus build a topic-level opinion influence model (TOIM) by integrating both topic factor and opinion influence factor into a unified probabilistic model. We evaluate our model in one of the largest microblogging sites in China, Tencent Weibo, and the experiments show that TOIM outperforms baseline methods in opinion inference accuracy. Moreover, incorporating indirect influence further improves inference recall and f1-measure. Finally, we demonstrate some useful applications of TOIM in analyzing users' behaviors in Tencent Weibo.
机译：文本挖掘已广泛用于多种类型的用户生成的数据中以推断用户意见，但由于文本消息简短且嘈杂，提供了有关用户意见的信息有限，因此难以将其应用于微博。考虑到微博用户之间相互交流以形成社交网络，我们假设用户的意见受其网络邻居的影响。在本文中，我们通过结合两个因素来推断用户对某个主题的看法：用户对相关主题的历史观点以及邻居的观点影响。因此，我们通过将话题因素和意见影响因素整合到统一的概率模型中，建立了话题级别的意见影响模型（TOIM）。我们在中国最大的微博网站之一腾讯微博中评估了我们的模型，实验表明，TOIM在意见推理准确性上优于基线方法。而且，将间接影响纳入进来可以进一步改善推理回想和f1测度。最后，我们演示了TOIM在分析腾讯微博用户行为方面的一些有用应用。

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    Daifeng Li; Jie Tang; Ying Ding; Xin Shuai; Tamy Chambers; Guozheng Sun; Zhipeng Luo; Jingwei Zhang;

  • 作者单位

    Department of Computer Science and Technology, 1-308, FIT Building, Tsinghua University, Beijing, 100084, China, PR;

    Department of Computer Science and Technology, 1-308, FIT Building, Tsinghua University, Beijing, 100084, China, PR;

    School of Informatics and Computing, Indiana University, 1320 East 10th Street, LI 025, Bloomington, IN 47405. USA;

    School of Informatics and Computing, Indiana University, 1320 East 10th Street, LI 025, Bloomington, IN 47405. USA;

    School of Informatics and Computing, Indiana University, 1320 East 10th Street, LI 025, Bloomington, IN 47405. USA;

    Tencent Company, No. 66, North Sihuan West Road, Haidian District, Beijing, P.R. China;

    Beijing University of Aeronautics and Astronautics, No. 37, Xueyuan Road, Haidian District, Beijing, P.R. China;

    Department of Electronic Engineering, Rohm Building, Tsinghua University, Beijing, China, 100084;

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