Social Rankingsanálisis visual de sentimientos en redes sociales
ISSN: 1135-5948
Year of publication: 2015
Issue: 55
Pages: 199-202
Type: Article
More publications in: Procesamiento del lenguaje natural
Abstract
Social Rankings is a web application that follows different entities in the social networks in real time. It detects and analyses the opinions about these entities using sentiment analysis techniques, to generate a visual report of their reputation and evolution in time.
Bibliographic References
- Balahur, A. 2011. Methods and resources for sentiment analysis in multilingual documents of different text types. Universidad de Alicante.
- Esuli, A. y F. Sebastiani. 2006. Sentiwordnet: A publicly available lexical resource for opinion mining. En Proceedings of LREC, volumen 6, páginas 417-422. Citeseer.
- Fernández, J., Y. Gutiérrez, J. M. Gómez, y P. Martínez-Barco. 2014. A Supervised Approach for Sentiment Analysis using Skipgrams. En Workshop on Natural Language Processing in the 5th Information Systems Research Working Days (JISIC 2014).
- Fernández, J., Y. Gutiérrez, J. M. Gómez, P. Martínez-Barco, A. Montoyo, y R. Munoz. 2013. Sentiment Analysis of Spanish Tweets Using a Ranking Algorithm and Skipgrams. En XXIX Congreso de la Sociedad Espanola de Procesamiento de Lenguaje Natural (SEPLN 2013), páginas 133-142.
- Guthrie, D., B. Allison, W. Liu, L. Guthrie, y Y. Wilks. 2006. A closer look at skipgram modelling. En Proceedings of the 5th international Conference on Language Resources and Evaluation (LREC-2006), páginas 1-4.
- Strapparava, C. y A. et al. Valitutti. 2004. WordNet Affect: an Affective Extension of WordNet. En LREC, volumen 4, páaginas 1083-1086.
- Villena Román, J., S. Lana Serrano, E. Martínez Cámara, y J. C. González Cristóbal. 2013. TASSWorkshop on Sentiment Analysis at SEPLN.