Automatic Detection of Irony – Opinion Mining in Microblogs and Social Media
Seiten
2019
Wiley-Blackwell (Hersteller)
978-1-119-67118-3 (ISBN)
Wiley-Blackwell (Hersteller)
978-1-119-67118-3 (ISBN)
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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).
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.
Erscheint lt. Verlag | 10.10.2019 |
---|---|
Verlagsort | Hoboken |
Sprache | englisch |
Maße | 150 x 250 mm |
Gewicht | 666 g |
Themenwelt | Technik ► Elektrotechnik / Energietechnik |
ISBN-10 | 1-119-67118-3 / 1119671183 |
ISBN-13 | 978-1-119-67118-3 / 9781119671183 |
Zustand | Neuware |
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