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Mood-based music recommendation system using facial expression recognition and text sentiment analysis

Author(s)
MADIPALLY SAI KRISHNA SASHANK Department of Computer Science and Engineering, GITAM School of Technology, GITAM (Deemed To Be University), Visakhapatnam- 530045, Andhra Pradesh, India
VIJAY SOURI MADDILA Department of Computer Science and Engineering, GITAM School of Technology, GITAM (Deemed To Be University), Visakhapatnam- 530045, Andhra Pradesh, India
PALETI KRISHNASAI Department of Computer Science and Engineering, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Chennai, Tamil Nadu, India
VIKAS BODDU Department of Computer Science and Engineering, GITAM School of Technology, GITAM (Deemed To Be University), Visakhapatnam- 530045, Andhra Pradesh, India
G KARTHIKA Department of Computer Science and Engineering, GITAM School of Technology, GITAM (Deemed To Be University), Visakhapatnam- 530045, Andhra Pradesh, India
Abstract
In today's fast-paced world, everyone is under a ton of stress for different reasons. Listening to music to reduce stress and detox has become a regular activity among people of all ages. However, if the music doesn't suit the user's mood, it can have the reverse effect of aggravating the stress in the user's mind. Moreover, there are no music applications available to the users that recommend songs based on the user's mood or emotion. Hence, in this work, we propose a mood-based music player application that suggests songs based on the user's emotion. The application can detect three emotions: angry, happy, and sad. To detect the emotion, the user has the choice of taking a selfie/providing an old image of their face or write a text stating how or what they are feeling. The application uses Deep Learning models (Facial Expression Recognition and Text Sentiment Analysis) to predict the user's emotion and populates a playlist of songs based on the emotion of the user.
Publication Details
Page(s) 5667-5674
DOI DOI not available
Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 19, Year: 2022

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Keywords
stress, Facial expression recognition, Text Sentiment Analysis, Mood-Based Music
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