EN-ES-CS: An English-Spanish Code-Switching Twitter Corpus for Multilingual Sentiment Analysis

Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos

Use this link to cite:

http://hdl.handle.net/2183/34966

EN-ES-CS: An English-Spanish Code-Switching Twitter Corpus for Multilingual Sentiment Analysis

Files

Vilares_David_2016_EN_ES_CS_An_English_Spanish_Code_Switching_Twitter_Corpus_for_Multilingual_Sentiment_Analysis.pdf (183.54 KB)

Identifiers

URI: http://hdl.handle.net/2183/34966

Publication date

2016-05

Authors

Vilares, David

Alonso, Miguel A.

Gómez-Rodríguez, Carlos

Bibliographic citation

David Vilares, Miguel A. Alonso, and Carlos Gómez-Rodríguez. 2016. EN-ES-CS: An English-Spanish Code-Switching Twitter Corpus for Multilingual Sentiment Analysis. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 4149–4153, Portorož, Slovenia. European Language Resources Association (ELRA).

Abstract

[Abstract]: Code-switching texts are those that contain terms in two or more different languages, and they appear increasingly often in social media. The aim of this paper is to provide a resource to the research community to evaluate the performance of sentiment classification techniques on this complex multilingual environment, proposing an English-Spanish corpus of tweets with code-switching (EN-ES-CS CORPUS). The tweets are labeled according to two well-known criteria used for this purpose: SentiStrength and a trinary scale (positive, neutral and negative categories). Preliminary work on the resource is already done, providing a set of baselines for the research community.