# Predicting the “helpfulness” of online consumer reviews

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/predicting-the-helpfulness-of-online-consumer-reviews/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jyoti Prakash Singh,Seda Irani,Nripendra P. Rana,Yogesh K. Dwivedi,Sunil Saumya,Pradeep Kumar Roy |
| Citations | 428 |
| DOI | 10.1016/j.jbusres.2016.08.008 |
| Fields | Computer Science,Decision Sciences,Social Sciences |
| Open Access | true |
| OA Status | green |
| OA URL | http://hdl.handle.net/10454/18084 |
| OpenAlex ID | https://openalex.org/W2509632655 |
| Type | article |
| Year | 2016 |

## Paper authors

- [Jyoti Prakash Singh](https://scholariq.org/researchers/jyoti-prakash-singh/)
- [Yogesh K. Dwivedi](https://scholariq.org/researchers/yogesh-k-dwivedi/)

## Paper primary topic

- [Digital Marketing and Social Media](https://scholariq.org/topics/digital-marketing-and-social-media/)

## Paper topics

- [Digital Marketing and Social Media](https://scholariq.org/topics/digital-marketing-and-social-media/)
- [Sentiment Analysis and Opinion Mining](https://scholariq.org/topics/sentiment-analysis-and-opinion-mining/)
- [Technology Adoption and User Behaviour](https://scholariq.org/topics/technology-adoption-and-user-behaviour/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.