{"product_id":"automatic-detection-of-irony","title":"Automatic Detection of Irony","description":"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).","brand":"ISTE Ltd and John Wiley \u0026 Sons Inc","offers":[{"title":"Default Product","offer_id":54222249001304,"sku":"9781786303998","price":172.3,"currency_code":"EUR","in_stock":true}],"url":"https:\/\/agendabookshop.com\/products\/automatic-detection-of-irony","provider":"Agenda Bookshop","version":"1.0","type":"link"}