Franklin

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

Author/Creator:
Karoui, Jihen, author.
Publication:
London ; Hoboken, New Jersey : Iste : Wiley, [2019]
Format/Description:
Book
1 online resource (215 pages)
Edition:
1st edition
Status/Location:
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Details

Subjects:
Natural language processing (Computer science).
Form/Genre:
Electronic books.
System Details:
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).
Notes:
Description based on print version record.
Contributor:
Moriceau, Véronique, author.
Benamara, Farah, author.
ISBN:
1-119-67115-9
1-119-67118-3