An Intelligent System to Identify the Emotions in the Text Using a Hybrid Deep Learning Model

Chevella Anil Kumar, Vinay Kumar Chikoti, Sree Ram Gandla, Akshitha Ganji, M. Dharma Teja, B. Nikhilesh

2025

Abstract

This research introduces a novel deep learning approach to effectively identifying emotions in text. This model is a hybrid structure that integrates the advantages of BERT, LSTM, GRU, and Transformer encoder layers to detect nuanced emotional signals and intricate linguistic patterns. By incorporating attention mechanisms, we enhance the model's ability to focus on significant details and comprehend context. We trained our model using the dataset 'emotion_dataset.csv' to accurately classify emotions across different text formats. This approach has a wide range of applications, including sentiment analysis, complex storytelling, human-computer interaction, personalized content generation, and monitoring mental health.

Paper Citation

in Harvard Style

Anil Kumar C., Chikoti V., Gandla S., Ganji A., Dharma Teja M. and Nikhilesh B. (2025). An Intelligent System to Identify the Emotions in the Text Using a Hybrid Deep Learning Model. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 277-283. DOI: 10.5220/0013590700004664

in Bibtex Style

@conference{incoft25,
author={Chevella Anil Kumar and Vinay Kumar Chikoti and Sree Ram Gandla and Akshitha Ganji and M. Dharma Teja and B. Nikhilesh},
title={An Intelligent System to Identify the Emotions in the Text Using a Hybrid Deep Learning Model},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT},
year={2025},
pages={277-283},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013590700004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT
TI - An Intelligent System to Identify the Emotions in the Text Using a Hybrid Deep Learning Model
SN - 978-989-758-763-4
AU - Anil Kumar C.
AU - Chikoti V.
AU - Gandla S.
AU - Ganji A.
AU - Dharma Teja M.
AU - Nikhilesh B.
PY - 2025
SP - 277
EP - 283
DO - 10.5220/0013590700004664
PB - SciTePress