Login

Benamara, Farah

Automatic Detection of Irony: Opinion Mining in Microblogs and Social Media

Benamara, Farah - Automatic Detection of Irony: Opinion Mining in Microblogs and Social Media, ebook

126,95€

Ebook, PDF with Adobe DRM
ISBN: 9781119671152
DRM Restrictions

Printing63 pages with an additional page accrued every 12 hours, capped at 63 pages
Copy to clipboard5 excerpts

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).

Keywords: New Media, New Media

Author(s)
 
 
Publisher
John Wiley and Sons, Inc.
Publication year
2019
Language
en
Edition
1
Page amount
210 pages
Format
Ebook
eISBN (PDF)
9781119671152
Printed ISBN
9781786303998

Similar titles