Review: Text Based Emotion Detection Using Deep Learning Technique

DOI

10.2991/978-94-6463-852-3_7How to use a DOI?

Keywords

Emotion detection; Machine Learning; Deep Learning; Long Short-Term Memory (LSTM); Bidirectional Encoder Representations from Transformers (BERT); Convolutional Neural Network (CNN)

Abstract

The detection of emotions in textual content is crucial for comprehending human behavior, improving user experience, and facilitating intelligent decision-making within artificial intelligence frameworks. This article offers an extensive overview of deep learning methodologies, emphasizing models such as Long Short-Term Memory (LSTM) networks and Bidirectional Encoder Representations from Transformers (BERT) for precise emotion identification in written data. In contrast to traditional sentiment analysis, which classifies text as positive, negative, or neutral, emotion detection seeks to pinpoint specific emotional states, including joy, anger, fear, and sadness. Our evaluation reveals that deep learning techniques outperform conventional machine learning methods, especially in recognizing intricate emotional signals and understanding contextual nuances. Furthermore, we explore the progression from earlier models to sophisticated architectures like BERT, which enhance semantic comprehension and achieve cutting-edge performance in various natural language processing applications. This review emphasizes the importance of integrating advanced deep learning models to create resilient and emotionally intelligent systems that mimic human-like responses.

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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TY  - CONF
AU  - Supriya Dudi
AU  - Bhupesh Kumar Singh
AU  - Taranpreet Singh Ruprah
PY  - 2025
DA  - 2025/10/07
TI  - Review: Text Based Emotion Detection Using Deep Learning Technique
BT  - Proceedings of the MULTINOVA: First International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS- 2025)
PB  - Atlantis Press
SP  - 100
EP  - 120
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-852-3_7
DO  - 10.2991/978-94-6463-852-3_7
ID  - Dudi2025
ER  -