relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4043/
title: A Lifelong Sentiment Classification Framework Based on a Close Domain Lifelong Topic Modeling Method
creator: Nguyen, Thi Cham
creator: Pham, Thi Ngan
creator: Nguyen, Minh Chau
creator: Nguyen, Tri Thanh
creator: Ha, Quang Thuy
subject: Information Technology (IT)
description: 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
type: Conference or Workshop Item
type: PeerReviewed
identifier:   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.     
relation: http://dx.doi.org/10.1007/978-3-030-41964-6_50
relation: 10.1007/978-3-030-41964-6_50