Quality evaluation of product reviews using an information quality framework

@article{Chen2011QualityEO,
  title={Quality evaluation of product reviews using an information quality framework},
  author={Chien Chin Chen and You-De Tseng},
  journal={Decision Support Systems},
  year={2011},
  volume={50},
  pages={755-768}
}
The ubiquity of Web2.0 makes the Web an invaluable source of business information. For instance, product reviews composed collaboratively by many independent Internet reviewers can help consumers make purchase decisions and enable enterprises to improve their business strategies. As the number of reviews is increasing exponentially, opinion mining and retrieval techniques are needed to identify important reviews and opinions to answer users' queries. Most opinion mining and retrieval approaches… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 42 CITATIONS

CatSent: a Catalan sentiment analysis website

  • Multimedia Tools and Applications
  • 2019
VIEW 8 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

The effect of user-controllable filters on the prediction of online hotel reviews

  • Information & Management
  • 2017
VIEW 4 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

References

Publications referenced by this paper.
SHOWING 1-10 OF 36 REFERENCES

Mining and summarizing customer reviews

VIEW 13 EXCERPTS
HIGHLY INFLUENTIAL

Utility scoring of product reviews

VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Opinion spam and analysis

VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Information Quality for Mobile Internet Services: A Theoretical Model with Empirical Validation

Minhee Chae, Jinwoo Kim
  • ICIS
  • 2001
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

K.Miller, Introduction toWordNet: an online Lexical Database, International Journal of Lexicography

G.Miller, R. Beckwith, C. Fellbaum, D. Gross
  • 1990
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL