← Back to papers
2013 SEMEVAL SemEval 2013

UMCC_DLSI-(SA): Using a ranking algorithm and informal features to solve Sentiment Analysis in Twitter

Authors

Yoan Gutiérrez , Andy González , Roger Pérez , José I. Abreu , Antonio Fernandez Orquín , Alejandro Mosquera , Andrés Montoyo , Rafael Muñoz , Franc Camara
Download PDF

Related papers

Celi: EDITS and Generic Text Pair Classification 2013
LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013 2013
Kea: Expression-level Sentiment Analysis from Twitter Data 2013
SFS-TUE: Compound Paraphrasing with a Language Model and Discriminative Reranking 2013
IIIT-H: A Corpus-Driven Co-occurrence Based Probabilistic Model for Noun Compound Paraphrasing 2013