Analizando opiniones en las redes sociales
ISSN: 1135-5948
Year of publication: 2017
Issue: 58
Pages: 141-148
Type: Article
More publications in: Procesamiento del lenguaje natural
Abstract
Web 2.0 has focused the importance of information, not on a few experts on a topic, but on a multitude of opinions expressed by users through various media on social networks. Due to this, there has been a increasing interest in systems that are able to determine what users think about a certain concept, by adding different sources of data and applying polarity calculations, to determine and compare these concepts with similar ones. In this paper we describe Social Analytics, our vision on how these kind of system should work, with a simple and optimized interface to meet the needs of the users.
Bibliographic References
- Fernández, J., Y. Gutiérrez, J. M. Gómez, P. Martínez-Barco, A. Montoyo, y R. Muñoz. 2013. Sentiment Analysis of Spanish Tweets Using a Ranking Algorithm and Skipgrams. En XXIX Congreso de la Sociedad Española de Procesamiento de Lenguaje Natural (SEPLN 2013), páginas 133–142.
- Hao, M., C. Rohrdantz, H. Janetzko, U. Dayal, D. A. Keim, L.-E. Haug, y M.-C. Hsu. 2011. Visual sentiment analysis on twitter data streams. En Visual Analytics Science and Technology (VAST), 2011 IEEE Conference on, páginas 277–278. IEEE.
- Hecht, B., L. Hong, B. Suh, y E. H. Chi. 2011. Tweets from justin bieber’s heart: the dynamics of the location field in user profiles. En Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, páginas 237–246. ACM.
- Hu, M. y B. Liu. 2004. Mining and summarizing customer reviews. En Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, páginas 168–177. ACM. Marcus, A., M. S. Bernstein, O. Badar, D. R.
- Karger, S. Madden, y R. C. Miller. 2011. Twitinfo: aggregating and visualizing microblogs for event exploration. En Proceedings of the SIGCHI conference on Human factors in computing systems, páginas 227–236. ACM.
- Miller, G. A. 1995. Wordnet: a lexical database for english. Communications of the ACM, 38(11):39–41.
- Peregrino, F. S., D. Tomás, y F. Llopis. 2013. Every move you make i’ll be watching you: geographical focus detection on twitter. En Proceedings of the 7th Workshop on Geographic Information Retrieval, páginas 1–8. ACM.
- Strapparava, C. y A. Valitutti. 2004. Wordnet affect: an affective extension of wordnet. En Proceedings of the Conference on Language Resources and Evaluation (LREC), volumen 4, páginas 1083–1086.
- Villena-Román, J., J. García-Morera, M. A. García-Cumbreras, E. Martínez-Cámara, M. T. Martín-Valdivia, y L. A. UrenaLópez. 2015. Overview of tass 2015. En TASS 2015 Workshop on Sentiment Analysis at SEPLN, volumen 1397, páginas 13–21.
- Wang, H., D. Can, A. Kazemzadeh, F. Bar, y S. Narayanan. 2012. A system for realtime twitter sentiment analysis of 2012 us presidential election cycle. En Proceedings of the ACL 2012 System Demonstrations, páginas 115–120. Association for Computational Linguistics.