OPINION TARGETS AND OPINION WORDS EXTRACTION USING MODIFIED WORD ALIGNMENT MODEL
Abstract & Details
Research Area
Opinion mining (Information Technology)
Keywords
E-commerce
opinion mining
fine-grain opinion mining
opinion target extraction
opinion word extraction
word alignment model
NLP rules
topical relation
Abstract
As e-commerce becomes more and more mature, number of reviews about products grows as well. For fine-grain opinion mining, opinion words and opinion targets extraction is important task, the main part of which is detecting different opinion relation among words. For this task, this paper proposes a method based on word alignment model, which also consider topical relation along with alignments. After finding alignments, the confidence of the candidate is estimated. Then candidate with higher confidence is extracted. Finally topical relations are considered in addition to extracted candidates. All previous methods are either dictionary based or based on nearest-neighbor rule, or based on NLP rules. Dictionary based methods are domain specific, nearest-neighbor rules based methods are not precise when long span relations and NLP rule based method not precise when used on informal inline texts. Our experiment results on two different data, for different domains shows that consideration of topical relation improve the method based on word alignment model
License
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Commons
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Vibhuti I. Patel | L.D. College of Engineering |
| 2 | Mital Panchal | L.D. College of Engineering |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Patel, Vibhuti I. & Panchal, Mital (2016). OPINION TARGETS AND OPINION WORDS EXTRACTION USING MODIFIED WORD ALIGNMENT MODEL. International Journal of Advance Research and Innovative Ideas In Education, 2(3), 603-608.
MLA Style
Patel, Vibhuti I., and Mital Panchal. "OPINION TARGETS AND OPINION WORDS EXTRACTION USING MODIFIED WORD ALIGNMENT MODEL." International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, 2016, pp. 603-608.
IEEE Style
Vibhuti I. Patel and Mital Panchal, "OPINION TARGETS AND OPINION WORDS EXTRACTION USING MODIFIED WORD ALIGNMENT MODEL," International Journal of Advance Research and Innovative Ideas In Education, vol. 2, no. 3, pp. 603-608, 2016.
Vancouver Style
Patel Vibhuti I., Panchal Mital. OPINION TARGETS AND OPINION WORDS EXTRACTION USING MODIFIED WORD ALIGNMENT MODEL. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):603-608.
Harvard Style
Patel, Vibhuti I. & Panchal, Mital (2016) 'OPINION TARGETS AND OPINION WORDS EXTRACTION USING MODIFIED WORD ALIGNMENT MODEL', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 603-608.
Chicago Style
Patel, Vibhuti I. and Mital Panchal. "OPINION TARGETS AND OPINION WORDS EXTRACTION USING MODIFIED WORD ALIGNMENT MODEL." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 603-608.
Turabian Style
Patel, Vibhuti I. and Mital Panchal. "OPINION TARGETS AND OPINION WORDS EXTRACTION USING MODIFIED WORD ALIGNMENT MODEL." International Journal of Advance Research and Innovative Ideas In Education 2, no. 3 (2016): 603-608.
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