Luis N. Zuñiga-Morales

Luis N. Zuñiga-Morales

Professor & Researcher in Artificial Intelligence. Multimodal models in social networks and applied multimodal models.

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

On the impact of image and text data on multimodal sentiment analysis in Spanish

Published in Multimedia Tools and Applications, 2026

Study of how fusing text and image representations from large language models affects sentiment prediction for Spanish social-media posts.

Recommended citation: Zúñiga-Morales, L. N., González-Ordiano, J. Á., Quiroz-Ibarra, J. E., & Simske, S. J. (2026). "On the impact of image and text data on multimodal sentiment analysis in Spanish." Multimedia Tools and Applications, 85(4), 281.
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Análisis de emociones en torno a las comunidades de activistas en el contexto de las movilizaciones del #8M2023 en México

Published in Revista Iberoamericana de Comunicación, 2025

Emotion analysis of activist communities during the #8M2023 mobilizations in Mexico.

Recommended citation: Portillo Sánchez, M., González Ordiano, J. Á., Quiroz Ibarra, J. E., & Zúñiga Morales, L. N. (2025). "Análisis de emociones en torno a las comunidades de activistas en el contexto de las movilizaciones del #8M2023 en México." Revista Iberoamericana de Comunicación, 3(45), 11–34.
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Machine learning framework for country image analysis

Published in Journal of Computational Social Science, 2024

A machine-learning framework to analyze the image of a country from digital sources.

Recommended citation: Zúñiga-Morales, L. N., González-Ordiano, J. Á., Quiroz-Ibarra, J. E., & Villanueva Rivas, C. (2024). "Machine learning framework for country image analysis." Journal of Computational Social Science, 7(1), 523–547.
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Conference Papers

Towards Automatic Principles of Persuasion Detection Using a Machine Learning Approach

Published in Progress in Artificial Intelligence and Pattern Recognition (Springer Nature Switzerland), 2024

A machine-learning approach to automatically detect principles of persuasion in text.

Recommended citation: Bustio-Martínez, L., et al. (2024). "Towards Automatic Principles of Persuasion Detection Using a Machine Learning Approach." In Progress in Artificial Intelligence and Pattern Recognition (pp. 155–166). Cham: Springer Nature Switzerland.

Impact Evaluation of Multimodal Information on Sentiment Analysis

Published in Advances in Computational Intelligence (Springer Nature Switzerland), 2022

Evaluating the contribution of multimodal information to sentiment analysis.

Recommended citation: Zúñiga-Morales, L. N., González-Ordiano, J. Á., Quiroz-Ibarra, J. E., & Simske, S. J. (2022). "Impact Evaluation of Multimodal Information on Sentiment Analysis." In Advances in Computational Intelligence (pp. 18–29). Cham: Springer Nature Switzerland.
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Análisis preliminar del sentimiento sobre la vacunación del COVID-19 en México

Published in Research in Computing Science, 2021

Preliminary sentiment analysis of COVID-19 vaccination in Mexico.

Recommended citation: Zúñiga-Morales, L. N., Zúñiga-López, A., Villegas-Cortez, J., Avilés-Cruz, C., & Morales-Torres, F. (2021). "Análisis preliminar del sentimiento sobre la vacunación del COVID-19 en México." Research in Computing Science, 150(5), 281–294.