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  Published Paper Details:

  Paper Title

GENERATING MUSIC FROM LITERATURE USING TOPIC EXTRACTION AND SENTIMENT ANALYSIS

  Authors

  Aafia Nausheen,  Abhilasha Yadav,  Ashley Thomas,  Gayathri M,  Mrs. Varsha Nilugal

  Keywords

Topic Extraction, Sentiment Analysis, Natural Language Processing, Text Summary, Tambr

  Abstract


This study presents Tambr, a new software for translating literature into audio using Topic Extraction and Sentiment Analysis for the way in which their timbre relates to the meaning and sentiment of the topics conveyed in the story. The durations, intervals and pitches of the output audio are generated using sentiment analysis which corresponds to sentiment of the text. Natural language processing algorithms are used for topic extraction in the text. Sentiment analysis is used to vary the intensity of the audio. The sounds generated by the system are very characteristics of ambiance music, as the emphasis was placed on selecting musical timbres that match with the themes of the text

  IJCRT's Publication Details

  Unique Identification Number - IJCRTOXFO038

  Paper ID - 190019

  Page Number(s) - 219-222

  Pubished in - Volume 6 | Issue 2 | APRIL 2018

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Aafia Nausheen,  Abhilasha Yadav,  Ashley Thomas,  Gayathri M,  Mrs. Varsha Nilugal,   "GENERATING MUSIC FROM LITERATURE USING TOPIC EXTRACTION AND SENTIMENT ANALYSIS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 2, pp.219-222, APRIL 2018, Available at :http://www.ijcrt.org/papers/IJCRTOXFO038.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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