Minería de Opinión y Comportamiento del Consumidor Digital: Un Análisis de Sentimientos Mediante Procesamiento de Lenguaje Natural (NLP) en el Sector Gastronómico de Ibagué, Tolima

Luis Felipe Campos Cardenas; Edisson Eduardo  Otalora Murcia; Juan Gilberto Giraldo Cortes

doi:10.22490/ECACEN.10285

No. 1 (2026): Working Papers 2026-I

Published 2026-07-30

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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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Digital Consumer Opinion and Behavior Mining: A Sentiment Analysis Using Natural Language Processing (NLP) in the Gastronomic Sector of Ibagué, Tolima

DOI: https://doi.org/10.22490/ECACEN.10285

Luis Felipe Campos Cardenas Universidad Nacional Abierta y a Distancia

Edisson Eduardo Otalora Murcia Universidad Nacional Abierta y a Distancia

Juan Gilberto Giraldo Cortes Universidad Nacional Abierta y a Distancia

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Abstract
References

Digital transformation has reshaped the relationship between consumers and gastronomic establishments, turning social media into spaces where diners express opinions that directly influence other users’ decisions. This working paper aims to analyze the sentiment of opinions expressed by digital consumers on Instagram, Facebook, and TikTok regarding formal restaurants and fast-food establishments in Ibagué, Tolima, using Natural Language Processing (NLP) techniques. The research adopts an exploratory-descriptive approach with a mixed design, integrating automated textual data collection, linguistic preprocessing, and comparative application of sentiment analysis models: lexicon-based approaches (VADER, TextBlob), classical machine learning (Naïve Bayes, SVM, Random Forest), and pre-trained transformer models for Spanish (BETO, RoBERTuito). Additionally, topic modeling techniques (LDA, BERTopic) are employed to identify recurring thematic dimensions. Results are expected to generate evidence-based strategic recommendations from the consumer’s voice to strengthen the local gastronomic sector.

keywords: Análisis De Sentimientos, Procesamiento de Lenguaje Natural, Minería de Opinión, Comportamiento del Consumidor Digital, Sector Gastronómico, Redes Sociales

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How to Cite

Campos Cardenas, L. F., Otalora Murcia, E. E., & Giraldo Cortes, J. G. (2026). Digital Consumer Opinion and Behavior Mining: A Sentiment Analysis Using Natural Language Processing (NLP) in the Gastronomic Sector of Ibagué, Tolima. Documentos De Trabajo ECACEN, 1, 177-190. https://doi.org/10.22490/ECACEN.10285

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