eprintid: 4043 rev_number: 16 eprint_status: archive userid: 307 dir: disk0/00/00/40/43 datestamp: 2020-08-02 06:20:00 lastmod: 2020-08-02 06:21:31 status_changed: 2020-08-02 06:20:00 type: conference_item metadata_visibility: show creators_name: Nguyen, Thi Cham creators_name: Pham, Thi Ngan creators_name: Nguyen, Minh Chau creators_name: Nguyen, Tri Thanh creators_name: Ha, Quang Thuy creators_id: nthicham@hpmu.edu.vn creators_id: ntthanh@vnu.edu.vn creators_id: thuyhq@vnu.edu.vn corp_creators: Trường Đại học Công nghệ, ĐHQGHN corp_creators: Trường Đại học Y Dược Hải Phòng title: A Lifelong Sentiment Classification Framework Based on a Close Domain Lifelong Topic Modeling Method ispublished: pub subjects: IT divisions: fac_fit 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. date: 2020-03-04 date_type: published official_url: http://dx.doi.org/10.1007/978-3-030-41964-6_50 id_number: 10.1007/978-3-030-41964-6_50 full_text_status: none pres_type: paper volume: 12033 pagerange: 575-585 event_title: Asian Conference on Intelligent Information and Database Systems event_location: Phuket, Thailand event_dates: 23-26 March, 2020 event_type: conference refereed: TRUE issn: 0302-9743 book_title: Intelligent Information and Database Systems citation: 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.