Mining customer requirements from online reviews: A product improvement perspective

  title={Mining customer requirements from online reviews: A product improvement perspective},
  author={Jiayin Qi and Zhenping Zhang and Seongmin Jeon and Yanquan Zhou},
  journal={Information & Management},
Big data commerce has become an e-commerce trend. Learning how to extract valuable and real time insights from big data to drive smarter and more profitable business decisions is a main task of big data commerce. Using online reviews as an example, manufacturers have come to value how to select helpful online reviews and what can be learned from online reviews for new product development. In this research, we first proposed an automatic filtering model to predict the helpfulness of online… CONTINUE READING
8 Citations
64 References
Similar Papers


Publications citing this paper.


Publications referenced by this paper.
Showing 1-10 of 64 references

Is this opinion leader's review useful? Peripheral cues for online review helpfulness

  • L. Zhu, G. Yin, W. He
  • J. Electron. Comm. Res
  • 2014
Highly Influential
4 Excerpts

Effects of big data analytics and traditional marketing analytics on new product success: a knowledge fusion perspective

  • Z. Xu, G. L. Frankwick, E. Ramirez
  • J. Bus. Res
  • 2015
Highly Influential
3 Excerpts

Estimating aggregate consumer preferences from online product reviews

  • R. Decker, M. Trusov
  • SSRN Electron. J. 27(4),
  • 2010
Highly Influential
3 Excerpts

Big data consumer analytics and the transformation of marketing

  • S. Erevelles, N. Fukawa, L. Swayne
  • J. Bus. Res
  • 2015
2 Excerpts

Gnanzou, How ‘big data’ can make big impact: findings from a systematic review and a longitudinal case study, Int

  • S. F. Wamba, S. Akter, A. Edwards, D.G.Chopin
  • J. Prod. Econ
  • 2015
1 Excerpt

Similar Papers

Loading similar papers…