Nguyen, Thi Cham and Pham, Thi Ngan and Nguyen, Minh Chau and Nguyen, Tri Thanh and Ha, Quang Thuy (2020) A Lifelong Sentiment Classification Framework Based on a Close Domain Lifelong Topic Modeling Method. In: Asian Conference on Intelligent Information and Database Systems, 23-26 March, 2020, Phuket, Thailand.
Full text not available from this repository.Abstract
In lifelong machine learning, the determination of the hypotheses related to the current task is very meaningful thanks to the reduction of the space to look for the knowledge patterns supporting for solving the current task. However, there are few studies for this problem. In this paper, we propose the definitions for measuring the “close domains to the current domain”, and a lifelong sentiment classification method based on using the close domains for topic modeling the current domain. Experimental results on sentiment datasets of product reviews from Amazon.com show the promising performance of system and the effectiveness of our approach.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Information Technology (IT) |
| Divisions: | Faculty of Information Technology (FIT) |
| Depositing User: | Hà Quang Thụy |
| Date Deposited: | 02 Aug 2020 06:20 |
| Last Modified: | 02 Aug 2020 06:21 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/4043 |
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