Affiliation:
1. School of Management, Northwestern Polytechnical University, P.R. China
2. School of Management Science and Engineering, Tianjin University of Finance and Economics, P.R. China
3. Human Media Interaction (HMI), Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), University of Twente, The Netherlands
Abstract
Social media provides customers with great opportunities to share their opinions regarding certain products and services. Comparative text, as an important expression form, deserves further exploration, since it contains considerable comparative information between different products and services. In this study, we review existing research on Comparative Text Mining (CTM) in the past 16 years. Basic concepts related to CTM are first described, and a general research framework is subsequently proposed. We then dive into each component of the research framework, ranging from data acquisition, comparative text identification (CTI), comparative relation extraction (CRE), to potential applications. In addition, we conduct extensive experimental analysis on existing methods for CTI and CRE, and clarify their limitations. Accordingly, we provide corresponding insights, and point out future research directions.
Funder
china scholarship council
National Natural Science Foundation of China
social science foundation of shaanxi province
Subject
Library and Information Sciences,Information Systems
Cited by
1 articles.
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