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Automatic Detection of Irony
book

Automatic Detection of Irony

by Jihen Karoui, Farah Benamara, Veronique Moriceau
November 2019
Intermediate to advanced content levelIntermediate to advanced
210 pages
5h 4m
English
Wiley-ISTE

Overview


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).

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Publisher Resources

ISBN: 9781786303998Purchase book