Ha, Quang Thuy and Pham, Thi Ngan and Nguyen, Van Quang and Nguyen, Minh Chau and Pham, Thanh Huyen and Nguyen, Tri Thanh (2018) o A new text semi-supervised multi-label learning model based on using the label-feature relations. In: 10th International Conference on Computational Collective Intelligence (ICCCI 2018), 5-7 September 2018, Bristol, United Kingdom.
Full text not available from this repository.Abstract
Multi-label learning has become popular and omnipresent in many real-world problems, especially in text classification applications, in which an instance could belong to different classes simultaneously. Due to these label constraints, there are some challenges occurring in building multi-label data. Semi-supervised learning is one possible approach to exploit abundantly unlabeled data for enhancing the classification performance with a small labeled dataset. In this paper, we propose a solution to select the most influential label based on using the relations among the labels and features to a semi-supervised multi-label classification algorithm on texts. Experiments on two datasets of Vietnamese reviews and English emails of Enron show the positive effects of the proposal.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Information Technology (IT) |
| Divisions: | Faculty of Information Technology (FIT) |
| Depositing User: | Ass. Prof. Tri-Thanh NGUYEN |
| Date Deposited: | 07 Jun 2018 07:04 |
| Last Modified: | 07 Jun 2018 07:04 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/2960 |
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