Topic-level opinion influence model (TOIM): An investigation using tencent microblogging
نویسندگان
چکیده
منابع مشابه
Topic-Level Opinion Influence Model(TOIM): An Investigation Using Tencent Micro-Blogging
Text mining has been widely used in multiple types of user-generated data to infer user opinion, but its application to microblogging turns out to be difficult, since text messages are short and noisy, providing limited information about user opinion. Given that microblogging users communicate each other to form a social network, we hypothesize that user opinion is influenced by its neighbors i...
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The surge of opinionated on-line texts provides a wealth of information that can be exploited to analyze users’ viewpoints and opinions on various topics. This article presents VODUM, an unsupervised Topic Model designed to jointly discover viewpoints, topics, and opinions in text. We hypothesize that partitioning topical words and viewpointspecific opinion words using part-of-speech helps to d...
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this research aims at answering the questions about translation problems and strategies applied by translators when translating cultural concepts. in order to address this issue, qualitative and quantitative study were conducted on two groups of subjects at imam reza international university of mashhad. these two groups were assigned as beginner and advanced translation students (10 students). ...
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Sentiment polarity Analysis on Microblogging Hot Topic
Sentiment polarity analysis on the microblogging hot topic can better understand the Internet user's attitude and tendency toward a specific event, so that government can effectively guide the public opinion. Different from other methods, the sentiment polarity analysis method put forward in this paper gives full consideration to the expression characteristics of microblogging, a particular net...
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ژورنال
عنوان ژورنال: Journal of the Association for Information Science and Technology
سال: 2015
ISSN: 2330-1635
DOI: 10.1002/asi.23350