TY - JOUR
T1 - Deep Learning Approach for Aspect-Based Sentiment Analysis of Restaurants Reviews in Spanish
AU - Martínez-Seis, Bella Citlali
AU - Pichardo-Lagunas, Obdulia
AU - Miranda, Sabino
AU - Perez-Cazares, Israel Josafat
AU - Rodriguez-González, Jorge Armando
N1 - Publisher Copyright:
© 2022 Instituto Politecnico Nacional. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Online reviews of products and services have become important for customers and enterprises. Recent research focuses on analyzing and managing those kinds of reviews using natural language processing. This paper focuses on aspect-based sentiment analysis for reviews in Spanish. First, the reviews data sets are normalized into different inputs of the neural networks. Then, our approach combines two deep learning models architectures to determine a positive or negative assessment and identify the most important characteristics or aspects of the text. We develop two architectures for aspect detection and three architectures for sentiment analysis. Merging the deep learning models, we tested our approach in restaurant reviews and compared them with state-of-the-art methods.
AB - Online reviews of products and services have become important for customers and enterprises. Recent research focuses on analyzing and managing those kinds of reviews using natural language processing. This paper focuses on aspect-based sentiment analysis for reviews in Spanish. First, the reviews data sets are normalized into different inputs of the neural networks. Then, our approach combines two deep learning models architectures to determine a positive or negative assessment and identify the most important characteristics or aspects of the text. We develop two architectures for aspect detection and three architectures for sentiment analysis. Merging the deep learning models, we tested our approach in restaurant reviews and compared them with state-of-the-art methods.
KW - Customer reviews
KW - polarity classification
KW - sentiment analysis
UR - http://www.scopus.com/inward/record.url?scp=85135759566&partnerID=8YFLogxK
U2 - 10.13053/CyS-26-2-4258
DO - 10.13053/CyS-26-2-4258
M3 - Artículo
AN - SCOPUS:85135759566
SN - 1405-5546
VL - 26
SP - 899
EP - 908
JO - Computacion y Sistemas
JF - Computacion y Sistemas
IS - 2
ER -