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Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model

Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model

Starting at: Rs.4,500.00

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Co-Extracting Opinion Targets and Opinion Words from Online Reviews Based on the Word Alignment Model

 Mining opinion targets and opinion words from online reviews are important tasks for fine-grained opinion mining, the key component of which involves detecting opinion relations among words. To this end, this paper proposes a novel approach based on the partially-supervised alignment model, which regards identifying opinion relations as an alignment process. Then, a graph-based co-ranking algorithm is exploited to estimate the confidence of each candidate. Finally, candidates with higher confidence are extracted as opinion targets or opinion words. Compared to previous methods based on the nearest-neighbor rules, our model captures opinion relations more precisely, especially for long-span relations. Compared to syntax-based methods, our word alignment model effectively alleviates the negative effects of parsing errors when dealing with informal online texts. In particular, compared to the traditional unsupervised alignment model, the proposed model obtains better precision because of the usage of partial supervision.


 


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  • Model: PROJ5079
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Thursday 08 September, 2016.

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