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  Published Paper Details:

  Paper Title

SURVEY OF VARIOUS TECHNIQUES FOR INSINCERE QUESTION CLASSIFICATION

  Authors

  Priyanka Pachpande,  Sharvari Govilkar

  Keywords

Insincere questions, Classification of insincere questions, Random Undersampling, GloVe, BERT.

  Abstract


With the availability of the internet anywhere and anytime people tend to move to the internet for resolution of their queries. While there are some people with genuine queries there are others who intend to misuse these CQA forums to defame someone or spread hate amongst people about an individual or group of individuals. It is crucial to identify such questions in order to stop misuse of these forums. Such insincere questions can further be classified into various categories like rhetorical questions, hypothetical questions and so on. Classification of Insincere questions (CIQ) helps to identify these insincere questions thus making CQA systems usable for genuine users. This paper presents a survey of various machine learning and deep learning techniques used for classification of insincere questions.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2101110

  Paper ID - 202135

  Page Number(s) - 886-890

  Pubished in - Volume 9 | Issue 1 | January 2021

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Priyanka Pachpande,  Sharvari Govilkar,   "SURVEY OF VARIOUS TECHNIQUES FOR INSINCERE QUESTION CLASSIFICATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 1, pp.886-890, January 2021, Available at :http://www.ijcrt.org/papers/IJCRT2101110.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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