TY - GEN
T1 - A comparison between two Spanish sentiment lexicons in the twitter sentiment analysis task
AU - Gambino, Omar Juárez
AU - Calvo, Hiram
N1 - Publisher Copyright:
© Springer International Publishing AG 2016.
PY - 2016
Y1 - 2016
N2 - Sentiment analysis aims to determine people’s opinions towards certain entities (e.g., products, movies, people, etc.). In this paper we describe experiments performed to determine sentiment polarity on tweets of the Spanish corpus used in the TASS workshop. We explore the use of two Spanish sentiment lexicons to find out the effect of these resources in the Twitter sentiment analysis task. Rule based and supervised classification methods were implemented and several variations over those approaches were performed. The results show that the information of both lexicons improve the accuracy when is provided as a feature to a Naïve Bayes classifier. Despite the simplicity of the proposed strategy, the supervised approach obtained better results than several participant teams of the TASS workshop and even the rule based approach overpass the accuracy of one team which used a supervised algorithm.
AB - Sentiment analysis aims to determine people’s opinions towards certain entities (e.g., products, movies, people, etc.). In this paper we describe experiments performed to determine sentiment polarity on tweets of the Spanish corpus used in the TASS workshop. We explore the use of two Spanish sentiment lexicons to find out the effect of these resources in the Twitter sentiment analysis task. Rule based and supervised classification methods were implemented and several variations over those approaches were performed. The results show that the information of both lexicons improve the accuracy when is provided as a feature to a Naïve Bayes classifier. Despite the simplicity of the proposed strategy, the supervised approach obtained better results than several participant teams of the TASS workshop and even the rule based approach overpass the accuracy of one team which used a supervised algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84994077844&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-47955-2_11
DO - 10.1007/978-3-319-47955-2_11
M3 - Contribución a la conferencia
SN - 9783319479545
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 127
EP - 138
BT - Advances in Artificial Intelligence - IBERAMIA 2016 - 15th Ibero-American Conference on AI 2016, Proceedings
A2 - Escalante, Hugo Jair
A2 - Montes-y-Gomez, Manuel
A2 - Segura, Alberto
A2 - de Dios Murillo, Juan
PB - Springer Verlag
T2 - 15th Ibero-American Conference on Advances in Artificial Intelligence, IBERAMIA 2016
Y2 - 23 November 2016 through 25 November 2016
ER -