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  Published Paper Details:

  Paper Title

MULTILINGUAL TEXT CLASSIFICATION USING SENTIMENT ANALYSIS

  Authors

  P Venkata Tanusha,  S Kalyani,  P Sruthi,  A Vishnu Priya,  V Sukanya

  Keywords

Heartbeat Sentiment analysis, Code-mixed data, Word variation, Campaign analysis.

  Abstract


Sentiment analysis (SA) using code-mixed data from social media has several applications in opinion mining ranging from customer satisfaction to social campaign analysis in multilingual societies. We use a Hindi-English (Hi-En) and Telugu-English (Tel-En) code-mixed datasets for sentiment analysis and perform empirical analysis comparing the suitability and performance of various state-of-the-art SA methods in social media. To do any further advancement in code-mixed data, the necessary step is data preprocessing, Word Variation, sentiment analysis, sentence classification into positive, negative and neutral.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2005164

  Paper ID - 194491

  Page Number(s) - 1204-1208

  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

  P Venkata Tanusha,  S Kalyani,  P Sruthi,  A Vishnu Priya,  V Sukanya,   "MULTILINGUAL TEXT CLASSIFICATION USING SENTIMENT ANALYSIS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 5, pp.1204-1208, May 2020, Available at :http://www.ijcrt.org/papers/IJCRT2005164.pdf

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ISSN: 2320-2882
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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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