TY - JOUR
T1 - Participation of ESCOM's Data Science Group at Rest-Mex 2022
T2 - 2022 Iberian Languages Evaluation Forum, IberLEF 2022
AU - Alcibar-Zubillaga, Julian
AU - De-Luna Ocampo, Yanina
AU - Pacheco-Castillo, Isaias
AU - Ramirez-Mendez, Kevin
AU - Sainz-Takata, Juan Pablo Minoru
AU - Gambino, Omar Juárez
N1 - Publisher Copyright:
© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2022
Y1 - 2022
N2 - In this paper we describe the participation of the ESCOM Data Science group in Rest-Mex 2022 for the Sentiment Analysis task. For this task, 5 levels of polarity (1-5) as well as the type of attraction (restaurant, hotel and attraction) on which the opinion is given must be predicted. We followed a supervised approach using machine learning methods to train a model and then use it to make predictions. The model was tuned and tested with different text representations and obtained a combined score from both tasks of 0.84, which is only 0.5 points away from the best result.
AB - In this paper we describe the participation of the ESCOM Data Science group in Rest-Mex 2022 for the Sentiment Analysis task. For this task, 5 levels of polarity (1-5) as well as the type of attraction (restaurant, hotel and attraction) on which the opinion is given must be predicted. We followed a supervised approach using machine learning methods to train a model and then use it to make predictions. The model was tuned and tested with different text representations and obtained a combined score from both tasks of 0.84, which is only 0.5 points away from the best result.
KW - Feature Selection
KW - Machine Learning
KW - Sentiment Analysis
UR - http://www.scopus.com/inward/record.url?scp=85137358230&partnerID=8YFLogxK
M3 - Artículo de la conferencia
AN - SCOPUS:85137358230
SN - 1613-0073
VL - 3202
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 20 September 2022
ER -