Automatic detection of irony : opinion mining in microblogs and social media / / Jihen Karoui, Farah Benamara Zitoune, Véronique Moriceau

• Autore: Karoui Jihen
• 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.: 9910821775003321
• Lo trovi qui: Univ. Federico II