{"product_id":"automatic-detection-of-irony-9781119671220","title":"Automatic Detection of Irony","description":"\u003cp\u003eIn 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).\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":53913769312535,"sku":null,"price":18187.14,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0679\/6918\/8119\/files\/9781119671220.jpg?v=1784102300","url":"https:\/\/payment.letskitaboo.com\/te\/products\/automatic-detection-of-irony-9781119671220","provider":"Kitaboo One eStore","version":"1.0","type":"link"}