{"product_id":"automatic-detection-of-irony-opinion-mining-in-microblogs-and-social-media-hardback-9781786303998","title":"Automatic Detection of Irony; Opinion Mining in Microblogs and Social Media (Hardback) 9781786303998","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eAutomatic Detection of Irony\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eOpinion Mining in Microblogs and Social Media\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eJihen Karoui (Author), Farah Benamara (Author), Veronique Moriceau (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781786303998, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 18 October 2019\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e210 pages\u003cbr\u003e24.1 x 16.3 x 3.3 cm, 0.907 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\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\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003eIntroduction xi\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1. From Opinion Analysis to Figurative Language Treatment \u003c\/b\u003e\u003cb\u003e1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1. Introduction 1\u003c\/p\u003e \u003cp\u003e1.2. Defining the notion of opinion 3\u003c\/p\u003e \u003cp\u003e1.2.1. The many faces of opinion 3\u003c\/p\u003e \u003cp\u003e1.2.2. Opinion as a structured model 4\u003c\/p\u003e \u003cp\u003e1.2.3. Opinion extraction: principal approaches 5\u003c\/p\u003e \u003cp\u003e1.3. Limitations of opinion analysis systems 7\u003c\/p\u003e \u003cp\u003e1.3.1. Opinion operators 8\u003c\/p\u003e \u003cp\u003e1.3.2. Domain dependency 9\u003c\/p\u003e \u003cp\u003e1.3.3. Implicit opinions 10\u003c\/p\u003e \u003cp\u003e1.3.4. Opinions and discursive context above phrase level 11\u003c\/p\u003e \u003cp\u003e1.3.5. Presence of figurative expressions 12\u003c\/p\u003e \u003cp\u003e1.4. Definition of figurative language 13\u003c\/p\u003e \u003cp\u003e1.4.1. Irony 13\u003c\/p\u003e \u003cp\u003e1.4.2. Sarcasm 18\u003c\/p\u003e \u003cp\u003e1.4.3. Satire 20\u003c\/p\u003e \u003cp\u003e1.4.4. Metaphor 21\u003c\/p\u003e \u003cp\u003e1.4.5. Humor 22\u003c\/p\u003e \u003cp\u003e1.5. Figurative language: a challenge for NLP 23\u003c\/p\u003e \u003cp\u003e1.6. Conclusion 23\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2. Toward Automatic Detection of Figurative Language \u003c\/b\u003e\u003cb\u003e25\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1. Introduction 25\u003c\/p\u003e \u003cp\u003e2.2. The main corpora used for figurative language 27\u003c\/p\u003e \u003cp\u003e2.2.1. Corpora annotated for irony\/sarcasm 28\u003c\/p\u003e \u003cp\u003e2.2.2. Corpus annotated for metaphors 33\u003c\/p\u003e \u003cp\u003e2.3. Automatic detection of irony, sarcasm and satire 36\u003c\/p\u003e \u003cp\u003e2.3.1. Surface and semantic approaches 36\u003c\/p\u003e \u003cp\u003e2.3.2. Pragmatic approaches 39\u003c\/p\u003e \u003cp\u003e2.4. Automatic detection of metaphor 51\u003c\/p\u003e \u003cp\u003e2.4.1. Surface and semantic approaches 52\u003c\/p\u003e \u003cp\u003e2.4.2. Pragmatic approaches 53\u003c\/p\u003e \u003cp\u003e2.5. Automatic detection of comparison 58\u003c\/p\u003e \u003cp\u003e2.6. Automatic detection of humor 58\u003c\/p\u003e \u003cp\u003e2.7. Conclusion 61\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3. A Multilevel Scheme for Irony Annotation in Social Network Content \u003c\/b\u003e\u003cb\u003e63\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1. Introduction 63\u003c\/p\u003e \u003cp\u003e3.2. The FrIC 65\u003c\/p\u003e \u003cp\u003e3.3. Multilevel annotation scheme 66\u003c\/p\u003e \u003cp\u003e3.3.1. Methodology 66\u003c\/p\u003e \u003cp\u003e3.3.2. Annotation scheme 69\u003c\/p\u003e \u003cp\u003e3.4. The annotation campaign 79\u003c\/p\u003e \u003cp\u003e3.4.1. Glozz 79\u003c\/p\u003e \u003cp\u003e3.4.2. Data preparation 80\u003c\/p\u003e \u003cp\u003e3.4.3. Annotation procedure 81\u003c\/p\u003e \u003cp\u003e3.5. Results of the annotation campaign 83\u003c\/p\u003e \u003cp\u003e3.5.1. Qualitative results 83\u003c\/p\u003e \u003cp\u003e3.5.2. Quantitative results 84\u003c\/p\u003e \u003cp\u003e3.5.3. Correlation between different levels of the annotation scheme 89\u003c\/p\u003e \u003cp\u003e3.6. Conclusion 93\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4. Three Models for Automatic Irony Detection \u003c\/b\u003e\u003cb\u003e95\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1. Introduction 95\u003c\/p\u003e \u003cp\u003e4.2. The FrIC\u003ci\u003e\u003csup\u003eAuto\u003c\/sup\u003e\u003c\/i\u003e corpus 97\u003c\/p\u003e \u003cp\u003e4.3. The SurfSystem model: irony detection based on surface features 99\u003c\/p\u003e \u003cp\u003e4.3.1. Selected features 99\u003c\/p\u003e \u003cp\u003e4.3.2. Experiments and results 101\u003c\/p\u003e \u003cp\u003e4.4. The PragSystem model: irony detection based on internal contextual features 104\u003c\/p\u003e \u003cp\u003e4.4.1. Selected features 104\u003c\/p\u003e \u003cp\u003e4.4.2. Experiments and results 109\u003c\/p\u003e \u003cp\u003e4.4.3. Discussion 116\u003c\/p\u003e \u003cp\u003e4.5. The QuerySystem model: developing a pragmatic contextual approach for automatic irony detection 118\u003c\/p\u003e \u003cp\u003e4.5.1. Proposed approach 118\u003c\/p\u003e \u003cp\u003e4.5.2. Experiments and results 122\u003c\/p\u003e \u003cp\u003e4.5.3. Evaluation of the query-based method 123\u003c\/p\u003e \u003cp\u003e4.6. Conclusion 124\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5. Towards a Multilingual System for Automatic Irony Detection \u003c\/b\u003e\u003cb\u003e127\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1. Introduction 127\u003c\/p\u003e \u003cp\u003e5.2. Irony in Indo-European languages 128\u003c\/p\u003e \u003cp\u003e5.2.1. Corpora 128\u003c\/p\u003e \u003cp\u003e5.2.2. Results of the annotation process 130\u003c\/p\u003e \u003cp\u003e5.2.3. Summary 139\u003c\/p\u003e \u003cp\u003e5.3. Irony in Semitic languages 140\u003c\/p\u003e \u003cp\u003e5.3.1. Specificities of Arabic 142\u003c\/p\u003e \u003cp\u003e5.3.2. Corpus and resources 143\u003c\/p\u003e \u003cp\u003e5.3.3. Automatic detection of irony in Arabic tweets 146\u003c\/p\u003e \u003cp\u003e5.4. Conclusion 149\u003c\/p\u003e \u003cp\u003eConclusion 151\u003c\/p\u003e \u003cp\u003eAppendix 155\u003c\/p\u003e \u003cp\u003eReferences 169\u003c\/p\u003e \u003cp\u003eIndex 189\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-ISTE","offers":[{"title":"Brand New","offer_id":52446641160472,"sku":"9781786303998","price":100.57,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781786303998.jpg?v=1785112215","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/automatic-detection-of-irony-opinion-mining-in-microblogs-and-social-media-hardback-9781786303998","provider":"Freshly Printed Books","version":"1.0","type":"link"}