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  Published Paper Details:

  Paper Title

E-COMMERCE PRODUCT REVIEW SYSTEM USING SENTIMENTAL ANALYSIS

  Authors

  S.Devi,  S.Bharath Kumar,  S.Keerthivel,  S.Ranjith

  Keywords

  Abstract


Sentiment analysis is such a groundwork space that understands and extracts the opinion from the given review and also the analysis method includes Natural Language Processing (NLP), linguistics, text analytics and classifying the polarity of the opinion. With in the field of sentiment analysis there are several algorithms exist to tackle natural language processing issues. On scrutiny with numerous algorithms like GA(Genetic Algorithm) and PCA(Principal component Analysis), it's that combining SVM(Support Vector Machine) with PSO(Particle swarm optimization) offers an improved accuracy for optimization for product reviews characteristic pretend product or not. In this paper we have used NLP for text preprocessing, Naive Bayes classifier for rating classification, and SVM algorithm to detect fake reviews and spam by providing a better accuracy.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2003217

  Paper ID - 192593

  Page Number(s) - 1540-1543

  Pubished in - Volume 8 | Issue 3 | March 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  S.Devi,  S.Bharath Kumar,  S.Keerthivel,  S.Ranjith,   "E-COMMERCE PRODUCT REVIEW SYSTEM USING SENTIMENTAL ANALYSIS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 3, pp.1540-1543, March 2020, Available at :http://www.ijcrt.org/papers/IJCRT2003217.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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