Feature selection for helpfulness prediction of online product reviews: An empirical study.
Online product reviews underpin nearly all e-shopping activities. The high volume of data, as well as various online review quality, puts growing pressure on automated approaches for informative content prioritization. Despite a substantial body of literature on review helpfulness prediction, the ra...
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| Main Authors: | Jiahua Du, Jia Rong, Sandra Michalska, Hua Wang, Yanchun Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2019-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0226902&type=printable |
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