Thi Ngan Pham and Thi Thom Phan and Phuoc Thao Nguyen and Quang Thuy Ha (2016) Hidden Topic Models for Multi-Label Review Classification: An Experimental Study. In: SW4PHD: the 2016 Scientific Workshop for PhD Students, 26 March 2016, Hanoi.
In recent years, Multi-Label Classification (MLC) has become an important task in the field of Supervised Learning. The MLC tasks are omnipresent in real-world problems in which an instance could belong to different classes simultaneously. In this paper, we presented a method for MLC using the hidden topic method to enrich the data features and using mutual information for feature selection. Our experiments on classifying user reviews about one thousand Vietnamese hotels showed the efficacy of the proposed approach.
|Item Type:||Conference or Workshop Item (Poster)|
|Subjects:||Information Technology (IT)|
|Divisions:||Faculty of Information Technology (FIT)|
|Deposited By:||Dr Ngoc Thang Bui|
|Deposited On:||23 May 2016 03:11|
|Last Modified:||23 May 2016 03:12|
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