Feature selection for helpfulness prediction of online product reviews: an empirical study
Download
Download
DownloadPreview
journal.pone.0226902.pdf
- Published Version
(1MB)
| Preview
Available under license: Creative Commons Attribution
Export
Du, Jiahua, Rong, Jia 
ORCID: 0000-0002-9462-3924, Michalska, Sandra, Wang, Hua ORCID: 0000-0002-8465-0996 and Zhang, Yanchun ORCID: 0000-0002-5094-5980
(2019)
Feature selection for helpfulness prediction of online product reviews: an empirical study.
PLoS ONE, 14 (12).
ISSN 1932-6203
Dimensions Badge
Altmetric Badge
| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/40313 |
| DOI | 10.1371/journal.pone.0226902 |
| Official URL | https://journals.plos.org/plosone/article?id=10.13... |
| Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | product reviews; helpfulness prediction; feature extraction; semantics; deep learning |
| Citations in Scopus | 20 - View on Scopus |
| Download/View statistics | View download statistics for this item |
CORE (COnnecting REpositories)