UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 4 | April 2026

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Published in:

Volume 10 Issue 3
March-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2303148


Registration ID:
508999

Page Number

b393-b395

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Title

Emotion Analysis using Deep Learning Techniques

Abstract

Image sharing has become one of the primary means to communicate with people as the world is being influenced by social media. People show their emotions or feelings to others by sharing their images in the social media where a large amount of unstructured data is generated. These images will help the people around him to analyze his behaviour at that particular moment. A model is proposed to detect the emotion of the person in the image that would evaluate his feelings at that moment and the emotion detection algorithm performs facial recognition and detects the facial expression and conveys the appropriate captions.

Key Words

Image processing, Emotion detection, CNN.

Cite This Article

"Emotion Analysis using Deep Learning Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.b393-b395, March-2023, Available :http://www.jetir.org/papers/JETIR2303148.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Emotion Analysis using Deep Learning Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppb393-b395, March-2023, Available at : http://www.jetir.org/papers/JETIR2303148.pdf

Publication Details

Published Paper ID: JETIR2303148
Registration ID: 508999
Published In: Volume 10 | Issue 3 | Year March-2023
DOI (Digital Object Identifier):
Page No: b393-b395
Country: HYDERABAD, TELANGANA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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