Automatic Detection of Irony (ePub)
Opinion Mining in Microblogs and Social Media
(Sprache: Englisch)
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...
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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).
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).
Autoren-Porträt von Jihen Karoui, Farah Benamara, Veronique Moriceau
Jihen Karoui is Research and Development Project Manager at AUSY, France.Farah Benamara is a Senior Lecturer at Paul Sabatier University in Toulouse, France.
Veronique Moriceau is a Senior Lecturer at Paul Sabatier University.
Bibliographische Angaben
- Autoren: Jihen Karoui , Farah Benamara , Veronique Moriceau
- 2019, 1. Auflage, 210 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 1119671221
- ISBN-13: 9781119671220
- Erscheinungsdatum: 28.10.2019
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- Dateiformat: ePub
- Größe: 1.94 MB
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Sprache:
Englisch
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