LyS: Porting a Twitter Sentiment Analysis Approach from Spanish to English
Use this link to cite
http://hdl.handle.net/2183/36203
Except where otherwise noted, this item's license is described as Atribución-NoComercial-CompartirIgual 3.0 España
Collections
Metadata
Show full item recordTitle
LyS: Porting a Twitter Sentiment Analysis Approach from Spanish to EnglishDate
2014Citation
David Vilares, Miguel Hermo, Miguel A. Alonso, Carlos Gómez-Rodríguez, and Yerai Doval. 2014. LyS: Porting a Twitter Sentiment Analysis Approach from Spanish to English. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 411–415, Dublin, Ireland. Association for Computational Linguistics.
Abstract
[Abstract]: This paper proposes an approach to solve message- and phrase-level polarity classification in Twitter, derived from an existing system designed for Spanish. As a first step, an ad-hoc preprocessing is performed. We then identify lexical, psychological and semantic features in order to capture different dimensions of the human language which are helpful to detect sentiment. These features are used to feed a supervised classifier after applying an information gain filter, to discriminate irrelevant features. The system is evaluated on the SemEval 2014 task 9: Sentiment Analysis in Twitter. Our approach worked competitively both in message- and phraselevel tasks. The results confirm the robustness of the approach, which performed well on different domains involving short informal texts.
Keywords
Twitter
Sentiment analysis
Sentiment analysis
Editor version
Rights
Atribución-NoComercial-CompartirIgual 3.0 España
ISBN
9781634392341