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Sentiment Analysis in Spanish for Improvement of Products and Services: A Deep Learning Approach
Joint Authors
Valencia-Garcia, Rafael
Colomo-Palacios, R.
Salas-Zárate, María del Pilar
Paredes-Valverde, Mario Andrés
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-26
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Sentiment analysis is an important area that allows knowing public opinion of the users about several aspects.
This information helps organizations to know customer satisfaction.
Social networks such as Twitter are important information channels because information in real time can be obtained and processed from them.
In this sense, we propose a deep-learning-based approach that allows companies and organizations to detect opportunities for improving the quality of their products or services through sentiment analysis.
This approach is based on convolutional neural network (CNN) and word2vec.
To determine the effectiveness of this approach for classifying tweets, we conducted experiments with different sizes of a Twitter corpus composed of 100000 tweets.
We obtained encouraging results with a precision of 88.7%, a recall of 88.7%, and an F-measure of 88.7% considering the complete dataset.
American Psychological Association (APA)
Paredes-Valverde, Mario Andrés& Colomo-Palacios, R.& Salas-Zárate, María del Pilar& Valencia-Garcia, Rafael. 2017. Sentiment Analysis in Spanish for Improvement of Products and Services: A Deep Learning Approach. Scientific Programming،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1203284
Modern Language Association (MLA)
Paredes-Valverde, Mario Andrés…[et al.]. Sentiment Analysis in Spanish for Improvement of Products and Services: A Deep Learning Approach. Scientific Programming No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1203284
American Medical Association (AMA)
Paredes-Valverde, Mario Andrés& Colomo-Palacios, R.& Salas-Zárate, María del Pilar& Valencia-Garcia, Rafael. Sentiment Analysis in Spanish for Improvement of Products and Services: A Deep Learning Approach. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1203284
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203284