[ FreeCourseWeb ] Automatic Detection of Irony- Opinion Mining in Microblogs and Social Media

  • CategoryOther
  • TypeE-Books
  • LanguageEnglish
  • Total size6.1 MB
  • Uploaded Byfreecoursewb
  • Downloads38
  • Last checkedOct. 17th '19
  • Date uploadedOct. 16th '19
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[ FreeCourseWeb.com ] Automatic Detection of Irony: Opinion Mining in Microblogs and Social Media

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English | ISBN: 178630399X | 2019 | 210 pages | PDF | 6 MB
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).

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