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Author Karoui, Jihen, author.

Title Automatic Detection of Irony [O'Reilly electronic resource] / Karoui, Jihen.

Edition 1st edition
Publication Info. Wiley-ISTE, 2019.
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Description 1 online resource (210 pages)
text file
Summary 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).
Reproduction Electronic reproduction. Boston, MA : Safari, Available via World Wide Web. 2019.
System Details Mode of access: World Wide Web.
Genre Electronic books.
Added Author Benamara, Farah, author.
Moriceau, Veronique, author.
Safari, an O'Reilly Media Company.
Standard No. 9781786303998
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