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Emotion based Movie Recommendation System using Deep Learning

by Manjusha Sanke, Shane Furtado, Saloni Naik, Shravani Nevagi, Vishal Bidikar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 20
Year of Publication: 2023
Authors: Manjusha Sanke, Shane Furtado, Saloni Naik, Shravani Nevagi, Vishal Bidikar
10.5120/ijca2023922924

Manjusha Sanke, Shane Furtado, Saloni Naik, Shravani Nevagi, Vishal Bidikar . Emotion based Movie Recommendation System using Deep Learning. International Journal of Computer Applications. 185, 20 ( Jul 2023), 49-53. DOI=10.5120/ijca2023922924

@article{ 10.5120/ijca2023922924,
author = { Manjusha Sanke, Shane Furtado, Saloni Naik, Shravani Nevagi, Vishal Bidikar },
title = { Emotion based Movie Recommendation System using Deep Learning },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2023 },
volume = { 185 },
number = { 20 },
month = { Jul },
year = { 2023 },
issn = { 0975-8887 },
pages = { 49-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number20/32812-2023922924/ },
doi = { 10.5120/ijca2023922924 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:26:37.682844+05:30
%A Manjusha Sanke
%A Shane Furtado
%A Saloni Naik
%A Shravani Nevagi
%A Vishal Bidikar
%T Emotion based Movie Recommendation System using Deep Learning
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 20
%P 49-53
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Emotions play a significant role in human perception and decision making. Recent studies on emotion detection and recognition are the subject for attention by researchers from different fields. This paper presents a web-based application which will be able to identify the emotion of user from the image uploaded on the server and stream the movies online. This paper focuses on seven emotional states: happiness, surprise, sadness, disgust, angry, fear and a neutral state which can be always found in daily life. The proposed system includes uploading the image to the server, detecting emotion from the image and finally presenting movie recommendation list based on the emotion of the user. The system uses FER2013 (Facial Expression Recognition 2013) dataset and IMDB (Internet Movie Database) dataset. A deep learning model is trained using CNN technique for detection and classification of emotions. User’s emotion is identified and a list of top-rated movies associated with it is presented.

References
  1. Alramzana Nujum Navaz; Serhani Mohamed Adel; Sujith Samuel Mathew “Facial Image Pre-processing and Emotion Classification: A Deep Learning Approach”, 2019 IEEE/ACS 16th International Conference on Computer Systems and Applications.
  2. P. Kaviya; T. Arumugaprakash “Group Facial Emotion Analysis System Using CNN”, 2021 5th International Conference on Computing Methodologies and Communication.
  3. Akriti Jaiswal; A. Krishnama Raju; Suman Deb “Facial Emotion Detection using Deep Learning”, 2020 International Conference for Emerging Technology.
  4. Zeynab Rzayeva; Emin Alasgarov “Facial Emotion Recognition using CNN”, 2022 IEEE INMIC. Technology.
  5. Renuka S. Deshmukh; Vandana Jagtap; Shilpa Paygude “Facial Emotion Recognition System through Machine Learning Approach”, 2017 International Conference on Intelligent Computing and Control Systems.
  6. Noel Jaymon; Sushma Nagdeote; Aayush Yadav; Ryan Rodrigues “Real Time Emotion Detection using Deep Learning”, 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies.
  7. Rabie Helaly; Mohamed Ali Hajjaji; Faouzi M'Sahli; Abdellatif Mtibaa “Face Recognition Model using Neural Network”, 2020 IEEE INMIC. Technology
  8. Sabrina Begaj; Ali Osman Topal; Maaruf Ali “Emotion Recognition Based on Facial Expression using CNN”, 2020 International Conference on Computing, Networking, Telecommunications & Engineering Sciences Applications.
  9. Leo Pauly; Deepa Sankar “Product Recommendation System from Emotion Detection”, 2015 IEEE ICCICCT.
  10. Shlok Gilda; Husain Zafar; Chintan Soni; Kshitija Waghurdekar “Smart Music Player Integrating Facial Emotion Recognition and Music Mood Recommendation”, 2017 International Conference on Wireless Communications, Signal Processing and Networking.
  11. Rabia Qayyum; Vishwesh Akre; Talha Hafeez “Android based Emotion Detection using Convolutions Neural Network”, 2021 International Conference on Computational Intelligence and Knowledge Economy.
  12. J.Jayapradha Soumya Sharma, Yash Dugar “Detection and Recognition of Human Emotion Using Neural Network”, International Journal of Applied Engineering Research.
  13. Rafael C. Gonzalez and Richard E. Woods. Digital Image Processing Third Edition- Pearson Education. Inc, Prentice Hall,2008.
  14. FER2013 Dataset: https://www.kaggle.com/datasets/msambare/fer2013
  15. IMDB Dataset: https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews
Index Terms

Computer Science
Information Sciences

Keywords

Emotion recognition FER13 Movie recommendation Deep learning.

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