A01=Farah Benamara
A01=Jihen Karoui
A01=Veronique Moriceau
above
analysis
Author_Farah Benamara
Author_Jihen Karoui
Author_Veronique Moriceau
automatic detection
Category=TJ
corpora
corpus
definition
eq_bestseller
eq_isMigrated=1
eq_nobargain
eq_non-fiction
eq_tech-engineering
faces
figurative
irony annotation
language
limitations
main corpora
model
multilevel
notion
opinion
opinion analysis
principal
treatment
Product details
- ISBN 9781786303998
- Weight: 907g
- Dimensions: 163 x 241mm
- Publication Date: 18 Oct 2019
- Publisher: ISTE Ltd and John Wiley & Sons Inc
- Publication City/Country: GB
- Product Form: Hardback
Secure
checkout
Fast Shipping
Easy returns
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. Véronique Moriceau is a Senior Lecturer at Paul Sabatier University.
