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19 avril 2018
- doi: 10.4000/books.aaccademia.2384
- eisbn: 9788899982942
https://creativecommons.org/licenses/by-nc-nd/4.0/ , info:eu-repo/semantics/openAccess
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linguistica computazionale elaborazione del linguaggio naturale umanistica digitale linguaggio tecnologia intelligenza artificiale elaborazione del testo linguistique computationelle traitement du langage naturel langue technologie intelligence artificielle traitement de texte Computational Linguistics natural language processing digital humenities language tecnology artificial intelligence text processing History & Philosophy Of Science LAN000000 CBXCiter ce document
Andrea Cimino et al., « Identifying Predictive Features for Textual Genre Classification: the Key Role of Syntax », Accademia University Press, ID : 10.4000/books.aaccademia.2384
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Résumé
The paper investigates impact and role of different feature types for the specific task of Automatic Genre Classification with the final aim of identifying the most predictive ones. The goal was pursued by carrying out incremental feature selection through Grafting using different sets of linguistic features. Achieved results for discriminating among four traditional textual genres show the key role played by syntactic features, whose impact turned out to vary across genres.