UNIBA - Integrating distributional semantics features in a supervised approach for detecting irony in Italian tweets
This paper describes the UNIBA team participation in the IronITA 2018 task at EVALITA 2018. We propose a supervised approach based on LIBLINEAR that relies on keyword, polarity, micro-blogging features and representation of tweets in a distributional semantic model. Our system ranked 3rd and 4th in...
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| Principais autores: | , |
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| Formato: | Chapter |
| Idioma: | Inglês |
| Publicado em: |
Accademia University Press
2018
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| Acesso em linha: | https://doi.org/10.4000/books.aaccademia.4620 https://hdl.handle.net/20.500.13089/1ddr https://books.openedition.org/aaccademia/4620 |
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