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Autore: | Karoui Jihen |
Titolo: | Automatic detection of irony : opinion mining in microblogs and social media / / Jihen Karoui, Farah Benamara Zitoune, Véronique Moriceau |
Pubblicazione: | London ; ; Hoboken, New Jersey : , : Iste : , : Wiley, , [2019] |
©2019 | |
Edizione: | First edition |
Descrizione fisica: | 1 online resource (215 pages) |
Disciplina: | 006.35 |
Soggetto topico: | Natural language processing (Computer science) |
Persona (resp. second.): | MoriceauVéronique |
BenamaraFarah | |
Sommario/riassunto: | In recent years, there has been a proliferation of opinion-heavy texts on the Web: opinions of Internet users, comments on social networks, etc. Automating the synthesis of opinions has become crucial to gaining an overview on a given topic. Current automatic systems perform well on classifying the subjective or objective character of a document. However, classifications obtained from polarity analysis remain inconclusive, due to the algorithms' inability to understand the subtleties of human language. Automatic Detection of Irony presents, in three stages, a supervised learning approach to predicting whether a tweet is ironic or not. The book begins by analyzing some everyday examples of irony and presenting a reference corpus. It then develops an automatic irony detection model for French tweets that exploits semantic traits and extralinguistic context. Finally, it presents a study of portability in a multilingual framework (Italian, English, Arabic). |
Titolo autorizzato: | Automatic detection of irony |
ISBN: | 1-119-67122-1 |
1-119-67115-9 | |
1-119-67118-3 | |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910555284903321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |