This paper describes the system used by the ValenTo team in the Task 11, Sentiment Analysis of Figurative Language in Twitter, at SemEval 2015. Our system used a regression model and additional external resources to assign polarity values. A distinctive feature of our approach is that we used not only word-sentiment lexicons providing polarity annotations, but also novel resources for dealing with emotions and psycholinguistic information. These are important aspects to tackle in figurative language such as irony and sarcasm, which were represented in the dataset. The system also exploited novel and standard structural features of tweets. Considering the different kinds of figurative language in the dataset our submission obtained good results in recognizing sentiment polarity in both ironic and sarcastic tweets.

ValenTo: Sentiment Analysis of Figurative Language Tweets with Irony and Sarcasm

HERNANDEZ FARIAS, DELIA IRAZU;SULIS, EMILIO;PATTI, Viviana;RUFFO, Giancarlo Francesco;BOSCO, CRISTINA
2015

Abstract

This paper describes the system used by the ValenTo team in the Task 11, Sentiment Analysis of Figurative Language in Twitter, at SemEval 2015. Our system used a regression model and additional external resources to assign polarity values. A distinctive feature of our approach is that we used not only word-sentiment lexicons providing polarity annotations, but also novel resources for dealing with emotions and psycholinguistic information. These are important aspects to tackle in figurative language such as irony and sarcasm, which were represented in the dataset. The system also exploited novel and standard structural features of tweets. Considering the different kinds of figurative language in the dataset our submission obtained good results in recognizing sentiment polarity in both ironic and sarcastic tweets.
9th International Workshop on Semantic Evaluation (SemEval 2015)
Denver, Colorado, USA
June 4-5, 2015
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
Association for Computational Linguistics
694
698
978-1-941643-40-2
http://www.aclweb.org/anthology/S15-2117
sentiment analysis, figurative language, irony, sarcasm, Twitter
Hernandez Farias, Delia Irazu; Sulis, Emilio; Patti, Viviana; Ruffo, Giancarlo; Bosco, Cristina
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/1521357
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