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Towards modeling fuzzy propagation for sentiment analysis in online social networks: A case study on TweetScope

机译:在在线社交网络中模糊传播模糊传播模糊传播 - 以TweetScope为例

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Understanding customers' opinion and subjectivity is regarded as an important task in various domains (e.g., marketing). Particularly, with many types of social media (e.g., Twitter and FaceBook), such opinions are propagated to other users and might make a significant influence on them. In this paper, we propose a fuzzy propagation modeling for opinion mining by sentiment analysis of online social networks. Thereby, a practical system, called TweetScope, has been implemented to efficiently collect and analyze all possible tweets from customers.
机译:了解客户的意见和主观性被认为是各个领域(例如,营销)中的重要任务。特别是,有许多类型的社交媒体(例如,Twitter和Facebook),这些意见将传播给其他用户,可能对它们产生重大影响。在本文中,我们向在线社交网络的情感分析提出了意见挖掘的模糊传播建模。因此,已经实施了一种名为TweetScope的实用系统,以有效地收集和分析来自客户的所有可能推文。

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