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  Published Paper Details:

  Paper Title

Movie Recommendation Using Sentiment Analysis From Micro Blogging Data

  Authors

  K. Revanth Sai,  K. Gopi Chand,  Mr.E.Sankar

  Keywords

Recommendation System, Collaborative filtering, Sentiment Analysis, Content-based filtering

  Abstract


Recommendation systems (RSs) have garnered massive hobby for packages in e-trade and virtual media. Traditional procedures in RSs include collaborative filtering (CF) and content-primarily based filtering (CBF) via those procedures which have sure limitations, including the need for earlier consumer records and behaviour for appearing the undertaking of recommendation. To limit the impact of such limitation, this text proposes a hybrid RS for the films that leverage the nice of standards used from CF and CBF in conjunction with sentiment evaluation of tweets from micro blogging sites. The motive to apply film tweets is to recognize the film's cutting-edge trends, public sentiment, and consumer reaction. Experiments carried out on the general public database have yielded promising results.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2303491

  Paper ID - 232768

  Page Number(s) - e335-e342

  Pubished in - Volume 11 | Issue 3 | March 2023

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  K. Revanth Sai,  K. Gopi Chand,  Mr.E.Sankar,   "Movie Recommendation Using Sentiment Analysis From Micro Blogging Data", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 3, pp.e335-e342, March 2023, Available at :http://www.ijcrt.org/papers/IJCRT2303491.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


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