Corpus ID: 2718131

Opinion mining from Arabic comparative sentences

@inproceedings{ElHalees2012OpinionMF,
  title={Opinion mining from Arabic comparative sentences},
  author={A. El-Halees},
  year={2012}
}
This paper discuses the problem of identifying comparative opinion sentences in Arabic text. Most works in the field of opinion mining concentrate on extracting knowledge from direct opinions. Directly mining positive or negative opinions on a product review or its features is only one form of opinion mining; comparing a product review with some other competitive products is another form. Comparisons focus on mining opinions from comparative sentences, i.e., to determine which entities in… Expand
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References

SHOWING 1-10 OF 11 REFERENCES
Identifying comparative sentences in text documents
  • 458
  • Highly Influential
  • PDF
Extracting Comparative Sentences from Korean Text Documents Using Comparative Lexical Patterns and Machine Learning Techniques
  • 20
  • Highly Influential
  • PDF
Web opinion mining: how to extract opinions from blogs?
  • 106
  • PDF
Mining Chinese comparative sentences by semantic role labeling
  • Feng Hou, G. Li
  • Computer Science
  • 2008 International Conference on Machine Learning and Cybernetics
  • 2008
  • 23
Mining comparative opinions from customer reviews for Competitive Intelligence
  • 270
  • PDF
Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger
  • 1,514
  • PDF
Term-Weighting Approaches in Automatic Text Retrieval
  • 8,716
  • PDF
PERFORMANCE MEASURES FOR INFORMATION EXTRACTION
  • 571
  • PDF
Web filtering using text classification
  • 72
Searching Opinions in User- Generated Contents
  • Invited talk at the Sixth Annual Emerging Information Technology Conference (EITC-06),
  • 2006
...
1
2
...