Automatic Detection of Irony - Opinion Mining in Microblogs and Social Media (Hardcover)

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).

General

Imprint:	Iste
Country of origin:	United Kingdom
Release date:	October 2019
Authors:	J Karoui
Dimensions:	244 x 171 x 18mm (L x W x T)
Format:	Hardcover
Pages:	210
ISBN-13:	978-1-78630-399-8
Categories:	Books > Professional & Technical > Electronics & communications engineering > General
LSN:	1-78630-399-X
Barcode:	9781786303998

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