It Is Not Just What We Say, But How We Say Them: LDA-based Behavior-Topic Model
نویسندگان
چکیده
Textual information exchanged among users on online social network platforms provides deep understanding into users’ interest and behavioral patterns. However, unlike traditional text-dominant settings such as offline publishing, one distinct feature for online social network is users’ rich interactions with the textual content, which, unfortunately, has not yet been well incorporated in the existing topic modeling
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یک مدل موضوعی احتمالاتی مبتنی بر روابط محلّی واژگان در پنجرههای همپوشان
A probabilistic topic model assumes that documents are generated through a process involving topics and then tries to reverse this process, given the documents and extract topics. A topic is usually assumed to be a distribution over words. LDA is one of the first and most popular topic models introduced so far. In the document generation process assumed by LDA, each document is a distribution o...
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