Music Suggestion Via Sentimental Analysis of User-Inputted Texts

Authors

  • Vipin Wani  SOCSE, Sandip University, Nashik, Maharashtra, India
  • Niketan Bothe  SOCSE, Sandip University, Nashik, Maharashtra, India
  • Avani Soni  SOCSE, Sandip University, Nashik, Maharashtra, India

DOI:

https://doi.org//10.32628/CSEIT217320

Keywords:

Music recommendation, emotion analysist, Sentiment analysis

Abstract

This paper overviews the state of craftsmanship in feeling acknowledgment from content and give music. Music is oftentimes alluded to as a “language of emotion”, and it is characteristic for us to classify music in terms of its enthusiastic affiliations. This paper, investigations the utilize of Natural Language Processing (NLP) for dismember the human dialect and make information models out of it. But to develop a computer program which is able give music based on text’s feeling. There may be impressive difference with respect to the recognition and translation of the feelings of a melody or uncertainty inside the piece itself. In this paper we provide a platform that tailors music according to a user-specific emotion, while also opening up the user to music they might not have perceived earlier on in life – the powers of recommendation and discovery in one piece of technology.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 7, Issue 3, May-June-2021

Section

Research Articles

License

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Vipin Wani, Niketan Bothe, Avani Soni, " Music Suggestion Via Sentimental Analysis of User-Inputted Texts, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.51-66, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT217320