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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 5, MAY 2022

Song Recommendation Using Emotion Detection

Kirti Jain, Shruti Swarup Srivastava, Tushar Vij

DOI: 10.17148/IJARCCE.2022.11559

Abstract: In recent years, recommendation systems have been used to make people’s lives easier with product recommendations used by Amazon/Flipkart, movie recommendation used by Netflix/Amazon Prime. While recommendation systems alone help the user make decisions, integrating emotion analysis with this system would automate a variety of things. The analysis of human sentiment, which is also referred to as mining of opinions or Emotion AI in circumstances, is the study of different states of the human brain. The use of emotion detection technologies has garnered a lot of interested patrons over the years so the project is based on detecting user’s real time emotion and then using the detected emotion to generate a playlist of songs, recommending songs based on a person’s emotions.

Keywords: Emotion Detection, Deep Learning, Web Development, Recommendation System, Machine Learning, Image Processing

How to Cite:

[1] Kirti Jain, Shruti Swarup Srivastava, Tushar Vij, “Song Recommendation Using Emotion Detection,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.11559