Extracting Product Features and Opinions from Reviews

@inproceedings{Popescu2005ExtractingPF,
  title={Extracting Product Features and Opinions from Reviews},
  author={Ana-Maria Popescu and Oren Etzioni},
  booktitle={HLT/EMNLP},
  year={2005}
}
Consumers are often forced to wade through many on-line reviews in order to make an informed product choice. This paper introduces OPINE, an unsupervised informationextraction system which mines reviews in order to build a model of important product features, their evaluation by reviewers, and their relative quality across products. Compared to previous work, OPINE achieves 22% higher precision (with only 3% lower recall) on the feature extraction task.OPINE’s novel use of relaxation… CONTINUE READING
Highly Influential
This paper has highly influenced 81 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 1,837 citations. REVIEW CITATIONS

From This Paper

Figures, tables, results, and topics from this paper.

Key Quantitative Results

  • Compared to previous work, OPINE achieves 22% higher precision (with only 3% lower recall) on the feature extraction task.

Citations

Publications citing this paper.
Showing 1-10 of 1,129 extracted citations

Extracting Product Features from Reviews Using Feature Ontology Tree Applied on LDA Topic Clusters

2016 IEEE 6th International Conference on Advanced Computing (IACC) • 2016
View 7 Excerpts
Highly Influenced

Mining Product Features from Online Reviews

2010 IEEE 7th International Conference on E-Business Engineering • 2010
View 20 Excerpts
Highly Influenced

A review of opinion mining and sentiment classification framework in social networks

2009 3rd IEEE International Conference on Digital Ecosystems and Technologies • 2009
View 11 Excerpts
Highly Influenced

Machine Learning for Text

Springer International Publishing • 2018
View 4 Excerpts
Highly Influenced

1,837 Citations

0100200'08'11'14'17
Citations per Year
Semantic Scholar estimates that this publication has 1,837 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 21 references

Mining and summarizing customer reviews

KDD • 2004
View 8 Excerpts
Highly Influenced

Dependency-based evaluation of MINIPAR

D. Lin.
Workshop on Evaluation of Parsing Systems at ICLRE • 1998
View 3 Excerpts
Highly Influenced

Inference of Semantic Orientation from Association

P. Turney.
InCoRR cs. CL/0309034 • 2003
View 2 Excerpts

Similar Papers

Loading similar papers…