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portada Automatic Detection of Irony: Opinion Mining in Microblogs and Social Media
Type
Physical Book
Publisher
Year
2019
Language
English
Pages
210
Format
Hardcover
ISBN13
9781786303998
Edition No.
1

Automatic Detection of Irony: Opinion Mining in Microblogs and Social Media

Jihen Karoui; Farah Benamara; Veronique Moriceau (Author) · Iste Ltd · Hardcover

Automatic Detection of Irony: Opinion Mining in Microblogs and Social Media - Jihen Karoui; Farah Benamara; Veronique Moriceau

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Synopsis "Automatic Detection of Irony: Opinion Mining in Microblogs and Social Media"

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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