Emotion Personalized  Music and Movie Recommendation system using Convolutional Neural Network

Aishwarya R B; Aishwarya N; Anuka Sushma; Aryan Kaul; Chaitra P C

Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network

April 2022

Vol-8, Issue-2

Paper ID: 16446

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Engineering

Keywords

emotion detection face recognition interaction mood extraction recommendation happy sad angry CNN facial landmark histogram.

Abstract

In the day-to-day stressful environment of the IT Industry, proper relaxation time is essential for all working professionals. To keep people stress-free, various technical and non-technical stress-relieving methods are currently being used. Administrators, programmers, and other computer users can be classified as administrators, programmers, and other computer users, each of whom requires a unique method of relaxation. A person's emotions can express workplace stress and vexation of any kind. The key to determining a person's current psychology is to observe their facial expressions. In this paper, we discuss a user-friendly smart music player. This player will capture a person's computer-related facial expressions and detect their current mood. Thanks to this music player, working professionals will be able to stay comfortable despite their heavy workloads. In recent years, several Internet companies have experimented with sentiment analysis to recommend content based on human emotions conveyed through informal language posted on social media. Sentiment analysis measures, on the other hand, simply classify a sentence's intensity as positive, neutral, or negative, and do not detect sentiment fluctuations based on the user's profile. User’s attitudes are derived from social media sentences, and the music recommendation engine is run on mobile devices using a simple framework that suggests songs based on the current user's sentiment intensity. Furthermore, the framework was designed with usability ergonomics in mind. The dataset is pre-loaded with both music and movies that can be changed based on the needs of the user, as many artists release songs or movies on a daily basis.

License

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

Author Information

#	Name	Institute / Affiliation
1	Aishwarya R B	Dayanand Sagar Academy of Technology and Management
2	Aishwarya N	Dayanand Sagar Academy of Technology and Management
3	Anuka Sushma	Dayanand Sagar Academy of Technology and Management
4	Aryan Kaul	Dayanand Sagar Academy of Technology and Management
5	Chaitra P C	Dayanand Sagar Academy of Technology and Management

How to Cite

Use the following formats to cite this article in your research.

APA Style

B, Aishwarya R, N, Aishwarya, Sushma, Anuka, Kaul, Aryan, & C, Chaitra P (2022). Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network. International Journal of Advance Research and Innovative Ideas In Education, 8(2), 1752-1756.

MLA Style

B, Aishwarya R, et al. "Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 2, 2022, pp. 1752-1756.

IEEE Style

Aishwarya R B, Aishwarya N, Anuka Sushma, Aryan Kaul, and Chaitra P C, "Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 2, pp. 1752-1756, 2022.

Vancouver Style

B Aishwarya R, N Aishwarya, Sushma Anuka, Kaul Aryan, C Chaitra P. Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(2):1752-1756.

Harvard Style

B, Aishwarya R, N, Aishwarya, Sushma, Anuka, Kaul, Aryan, & C, Chaitra P (2022) 'Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network', International Journal of Advance Research and Innovative Ideas In Education, 8(2), pp. 1752-1756.

Chicago Style

B, Aishwarya R, et al. "Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network." International Journal of Advance Research and Innovative Ideas In Education 8, no. 2 (2022): 1752-1756.

Turabian Style

B, Aishwarya R, et al. "Emotion Personalized Music and Movie Recommendation system using Convolutional Neural Network." International Journal of Advance Research and Innovative Ideas In Education 8, no. 2 (2022): 1752-1756.