Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora

@inproceedings{Vilares2015SentimentAO,
  title={Sentiment Analysis on Monolingual, Multilingual and Code-Switching Twitter Corpora},
  author={David Vilares and Miguel A. Alonso and Carlos G{\'o}mez-Rodr{\'i}guez},
  booktitle={WASSA@EMNLP},
  year={2015}
}
We address the problem of performing polarity classification on Twitter over different languages, focusing on English and Spanish, comparing three techniques: (1) a monolingual model which knows the language in which the opinion is written, (2) a monolingual model that acts based on the decision provided by a language identification tool and (3) a multilingual model trained on a multilingual dataset that does not need any language recognition step. Results show that multilingual models are even… CONTINUE READING

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Supervised sentiment analysis in multilingual environments

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Emotion Analysis in Code-Switching Text With Joint Factor Graph Model

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Gómez-Rodrı́guez. 2015b. One model, two languages: training bilingual parsers with harmonized treebanks

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