Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

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Emotion Detection in Text: Leveraging Machine Learning for Sentiment and Emotional Intelligence Analysis

Authors
Banala Saritha1, *, G. Purnachandrarao2, Dabbula Sai Gouthami1, Kunchala Nandini1, Datla Harsha Vardhan Varma1, Nithish Anaparthi1
1Department of Electronics and Communication Engineering, B V Raju Institute of Technology, Narsapur, Telangana, India
2Department of Electronics and Communication Engineering, BVRIT Hyderabad College of Engineering for Women, Hyderabad, India
*Corresponding author. Email: saritha.b@bvrit.ac.in
Corresponding Author
Banala Saritha
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_211How to use a DOI?
Keywords
Decision Tree; Support Vector Machine (SVM); Linear Regression; Convolutional Neural networks (CNN); Machine Learning; Random Forest
Abstract

Emotional Intelligence is the procedure of identifying the emotional tone of a string of words in order to comprehend the sentiments, viewpoints, and feelings conveyed in an online mention. This project presents a comprehensive study on the applications of Machine learning (ML) techniques in emotion detection, focusing on the automatic detection and classification of emotions in various text sources. Research shows that high emotional intelligence is linked to improved mental health, stronger relationships, and greater workplace performance. As a critical component of human interaction, fostering EI can lead to more adaptive and resilient behaviour in an increasingly complex and collaborative world.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_211How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Banala Saritha
AU  - G. Purnachandrarao
AU  - Dabbula Sai Gouthami
AU  - Kunchala Nandini
AU  - Datla Harsha Vardhan Varma
AU  - Nithish Anaparthi
PY  - 2025
DA  - 2025/11/04
TI  - Emotion Detection in Text: Leveraging Machine Learning for Sentiment and Emotional Intelligence Analysis
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 2538
EP  - 2549
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_211
DO  - 10.2991/978-94-6463-858-5_211
ID  - Saritha2025
ER  -