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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM33729

Emotion Detection

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM33729

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

M

Mr.M.Y.SHAIKH

AB

Asavari Bhosale

SG

Sanchita Ghadage

RD

Rutuja Deshmukh

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Abstract

Digital communication is everywhere today, and it gives us a great chance to spot emotional signals that could point to mental health problems early on. This summary suggests creating an AI-based system that can automatically find and understand emotions in chats and emails. It would track how emotions change over time and match them with known psychological measures, giving useful insights to mental health professionals. The system would use advanced AI models (transformers) that are trained to detect different emotions at once. It would also protect people’s privacy by hiding personal information, explain how the AI makes its decisions, and show real-time results on a dashboard to help with early support. This research hopes to improve emotion-detecting technology, help people who speak less common languages, and create ethical rules for using AI in mental health care.

KEYWORDS

emotion detection mental‑health AI transformer models privacy affective computing

Cite This Article

Mr.M.Y.SHAIKH, Asavari Bhosale, Sanchita Ghadage, Rutuja Deshmukh, "Emotion Detection," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024.

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Publication Date

12/31/45880

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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