Titlebook: Knowledge Science, Engineering and Management; 11th International C Weiru Liu,Fausto Giunchiglia,Bo Yang Conference proceedings 2018 Spring

Banister

WalkToTopics: Inferring Topic Relations from a Feature Learning Perspectivents become more important and challenging for users. Although many topic models have been devoted to analyzing topics, the study of topics’ potential relevances is still largely limited by various difficulties. Hence, we introduce WalkToTopics, an unsupervised topic mining and analysis model, for in

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極少

Neural Sentiment Classification with Social Feedback Signalsof websites provide users with voting and feedback systems (or called social feedback system). However, most existing sentiment classification models only focus on text information while ignoring the social feedback signals from fellow users, despite the association between voting and review predict

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