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  Published Paper Details:

  Paper Title

ASPECT BASED SENTIMENT ANALYSIS OF MEDICAL DATA,LEMMAS,LSTM

  Authors

  Dhananjay Bapu Bhamare,  Kiran M Harbak,  Sachin s Malekar,  Vrushabh P Dondal,  Prof P R Ahire

  Keywords

LSTM, Sentimental Analysis, Reviews, Supervised Learning

  Abstract


The study was conducted to examine the determinants of online consumer reviews as electronic word of mouth has become more and more popular to help make buying decisions. The web provides a wide range of customer reviews, but all reviews can be difficult to read in order to properly evaluate a product or service. A text processing framework that summarizes reviews, therefore, would be desirable. The subtask presented by such a framework is to find a range of commonalities in the review sentences, for which this paper presents two methods. Unlike most existing methods, the first method introduced is an unsafe method that applies association rules mining on co-frequency data obtained from the corpus to find a range of these aspects.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2005274

  Paper ID - 194708

  Page Number(s) - 2083-2089

  Pubished in - Volume 8 | Issue 5 | May 2020

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Dhananjay Bapu Bhamare,  Kiran M Harbak,  Sachin s Malekar,  Vrushabh P Dondal,  Prof P R Ahire,   "ASPECT BASED SENTIMENT ANALYSIS OF MEDICAL DATA,LEMMAS,LSTM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 5, pp.2083-2089, May 2020, Available at :http://www.ijcrt.org/papers/IJCRT2005274.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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