Automatic Detection of Irony
Author | : Jihen Karoui |
Publisher | : John Wiley & Sons |
Total Pages | : 216 |
Release | : 2019-10-15 |
ISBN-10 | : 9781119671152 |
ISBN-13 | : 1119671159 |
Rating | : 4/5 (52 Downloads) |
Download or read book Automatic Detection of Irony written by Jihen Karoui and published by John Wiley & Sons. This book was released on 2019-10-15 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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).