Do reviewers’ words affect predicting their helpfulness ratings? Locating helpful reviewers by linguistics styles

Sheng-Tun Li, Thuong Thi Pham, Hui Chi Chuang

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Locating helpful reviewers in opinion-sharing communities is an important issue. Numerous studies that examine this using social relations have some shortcomings. This study investigates language use, differing from person to person, and develops a novel prediction model to alleviate the problems. We identify four stylistic aspects and explore their impacts on predicting reviewers’ helpfulness ratings. The analyses show that the proposed model can more accurately locate helpful reviewers than the baseline model. In addition, reviewers’ words impact more than social relations do, although a combination of these will boost prediction performance to a greater extent than one alone.

Original languageEnglish
Pages (from-to)28-38
Number of pages11
JournalInformation and Management
Volume56
Issue number1
DOIs
Publication statusPublished - 2019 Jan 1

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Linguistics
Rating
Social relations
Prediction model
Prediction
Language

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Information Systems
  • Information Systems and Management

Cite this

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Do reviewers’ words affect predicting their helpfulness ratings? Locating helpful reviewers by linguistics styles. / Li, Sheng-Tun; Pham, Thuong Thi; Chuang, Hui Chi.

In: Information and Management, Vol. 56, No. 1, 01.01.2019, p. 28-38.

Research output: Contribution to journalArticle

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