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International Journal of Research and Analytical Reviews (IJRAR)

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E-ISSN 2348-1269, P- ISSN 2349-5138 | ESTD Year: 2014

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  Published Paper Details:

  Paper Title  

OPINION TARGETS EXTRACTION USING WORD ALIGNMENT FROM ONLINE REVIEWS

  Authors

  INBA S,  Dr SARAVANAN T. M

  Keywords

Opinion mining, opinion targets extraction, opinion words extraction

  Abstract


Extracting opinion targets and opinion words from online reviews are two fundamental tasks in opinion mining. This paper proposes a novel approach to collectively extract them with graph co-ranking. First, compared to previous methods which solely employed opinion relations among words, our method constructs a heterogeneous graph to model two types of relations, including semantic relations and opinion relations. Next, a co-ranking algorithm is proposed to estimate the confidence of each candidate, and the candidates with higher confidence will be extracted as opinion targets/words . In this way, different relations make cooperative effects on candidates confidence estimation. Moreover, word preference is captured and incorporated into our co-ranking algorithm. In this way, our co-ranking is personalized and each candidates confidence is only determined by its preferred collocations. It helps to improve the extraction precision. So this paper presents an innovative model for relevance topic review discovery to solve the problems. It discovers both positive and negative review in documents as higher level topic features and deploys them over low-level features (terms). It also classifies terms into categories and updates term security based on their specificity and their distributions in review patterns. The experimental results on world web data sets with different sizes and languages show that proposed approach achieves better performance than state-of-the-art methods.

  Cite this article

  INBA S,  Dr SARAVANAN T. M ,   "OPINION TARGETS EXTRACTION USING WORD ALIGNMENT FROM ONLINE REVIEWS ", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.6, Issue 1, Page No pp.458-461, March 2019, Available at : http://www.ijrar.org/IJRAR19H1218.pdf  

  IJRAR's Publication Details

  Unique Identification Number - IJRAR19H1218

  Paper ID - 200589

  Page Number(s) - 458-461

  Pubished in - Volume 6 | Issue 1 | March 2019

  DOI (Digital Object Identifier) -   

  Publisher Name - IJRAR | www.ijrar.org | E-ISSN 2348-1269, P- ISSN 2349-5138

  E-ISSN 2348-1269, P- ISSN 2349-5138

  Cite this article

  INBA S,  Dr SARAVANAN T. M ,   "OPINION TARGETS EXTRACTION USING WORD ALIGNMENT FROM ONLINE REVIEWS ", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.6, Issue 1, Page No pp.458-461, March 2019, Available at : http://www.ijrar.org/IJRAR19H1218.pdf

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The IJRAR - International Journal of Research and Analytical Reviews (IJRAR) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world.


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