Prototype for automatic emotion detection in texts from young people using deep neural networks for natural language processing

Authors

  • Yudy Amparo Narváez Vallejo Fundación Universitaria Salesiana
  • Karen Valentina Serrano Piñeres Fundación Universitaria Salesiana
  • Alejandra Restrepo Franco Fundación Universitaria Salesiana
  • Jaime Andrés Amaya González Universidad de Cundinamarca

DOI:

https://doi.org/10.26507/paper.4728

Keywords:

Emotional health, emotion recognition, Artificial intelligence, Natural Language Processing, emotional expression

Abstract

This research project aims to facilitate intervention in youth environments, especially in cases where young people face difficulties expressing their emotions and naturally communicating what they feel. In many cases, this difficulty not only limits their ability to express their emotions but also to properly recognize them. Therefore, it is essential to provide them with opportunities to express themselves through various channels, not only through verbal language but also through stimuli and experiences that encourage free expression in creative environments.

With this purpose in mind, the development of a software prototype based on advanced Artificial Intelligence models is proposed. This system would be capable of automatically detecting emotions in texts, emails, and written assignments from young people. This tool will analyze how they express their emotions through writing, providing valuable information to better understand their emotional state.

Therefore, the process of creating a space that allows for an approach and recognition between the young person and their emotions becomes a valuable contribution for parents, therapists, society, and especially for the natural and free expression of young people. These are the individuals who, often, carry emotional scars or wounds without having spaces to express them freely, without fear of being criticized or judged, which may end up strengthening harmful behavioral traits in their personalities that, later on, can turn into more serious issues.

References

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Pashupati, G. (2017). Emotion Detection from Text. https://www.kaggle.com/datasets/pashupatigupta/emotion-detection-from-text

How to Cite

[1]
Y. A. Narváez Vallejo, K. V. Serrano Piñeres, A. Restrepo Franco, and J. A. Amaya González, “Prototype for automatic emotion detection in texts from young people using deep neural networks for natural language processing”, EIEI ACOFI, Sep. 2025.

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Published

2025-09-08
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