Investigations in Computational Sarcasm - Couverture souple

Joshi, Aditya

9789811341397: Investigations in Computational Sarcasm

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ISBN 10 : 9811341397 ISBN 13 : 9789811341397

Editeur : Springer, 2019

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Provides a tabular summary of past work in computational sarcasm
Lays down linguistic foundations to computational sarcasm
Employs elaborate examples motivating each module of work
Describes approaches spanning multiple ML techniques such as classifiers, topic models, deep learning-based architectures, etc.

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� propos de l?auteur

Aditya Joshi has been a PhD student at IITB-Monash Research Academy, Mumbai, a joint PhD programme run by the Indian Institute of Technology Bombay (IIT Bombay) and Monash University, Australia, since January 2013. His primary research focus is computational sarcasm, and he has explored different ways in which incongruity can be captured in order to detect and generate sarcasm. In addition, he has worked on innovative applications of natural language processing (NLP) such as sentiment analysis for Indian languages, drunk-texting prediction, news headline translation, and political issue extraction. The monograph is an outcome of Aditya's PhD research.

Dr. Pushpak Bhattacharyya is the current president of The Association for Computational Linguistics (ACL) (2016-17). He is the Director of the Indian Institute of Technology Patna (IIT Patna) and Vijay and Sita Vashee Chair Professor at the Department of Computer Science and Engineering, Indian Institute of Technology Bombay (IIT Bombay). He was educated at the Indian Institute of Technology Kharagpur (IIT Kharagpur) (B.Tech), Indian Institute of Technology Kanpur (IIT Kanpur) (M.Tech.) and IIT Bombay (PhD).

He has been a visiting scholar and faculty member at the Massachusetts Institute of Technology (MIT), Stanford, UT Houston and University Joseph Fouriere (France). Prof. Bhattacharyya's research areas include natural language processing, machine learning and artificial intelligence (AI). Loved by his students for his inspiring teaching and mentorship, he has guided more than 250 students (PhD, Masters and Bachelors). He has published over 250 research papers, is author of the textbook 'Machine Translation' and has led government and industry projects of international and national importance. His significant contributions in the field include multilingual lexical knowledge bases and projection. Prof. Bhattacharyya is a fellow of the National Academy of Engineering and recipient of the IIT Bombay Patwardhan Award and the Indian Institute of Technology Roorkee (IIT Roorkee) VNMM award, both for technology development. He has also received IBM, Microsoft, Yahoo and United Nations faculty grants.

Dr. Mark J. Carman is a senior lecturer at the Faculty of Information Technology, Monash University, Australia. He obtained a Ph.D. from the University of Trento, Italy in 2004. His research and interests span theoretical studies (e.g. investigating statistical properties of information retrieval measures), to practical applications (e.g. technology for assisting police during digital forensic investigations). Dr. Carman has authored a large number of publications in prestigious venues, including full papers at SIGIR, KDD, IJCAI, CIKM, WSDM, CoNLL, and ECIR, and articles in TOIS, IR, JMLR, ML, PR, JAIR and IP&M.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: Springer
Date d'�dition: 2019
Langue: anglais
ISBN 10: 9811341397
ISBN 13: 9789811341397
Reliure: Broch�
Nombre de pages: 156
Coordonn�es du fabricant: non disponible
Personne responsable: non disponible

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Investigations in Computational Sarcasm

Aditya Joshi|Pushpak Bhattacharyya|Mark J. Carman

Edit� par Springer Singapore, 2019

ISBN 10 : 9811341397 ISBN 13 : 9789811341397

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a tabular summary of the past work on computational sarcasmLays down the linguistic foundations for computational sarcasmPresents elaborate examples motivating each work module&nbspDescribes approaches spanning multiple mac. N� de r�f. du vendeur 458823869

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Investigations in Computational Sarcasm

Aditya Joshi

Edit� par Springer Nature Singapore Jan 2019, 2019

ISBN 10 : 9811341397 ISBN 13 : 9789811341397

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware - This book describes the authors' investigations of computational sarcasm based on the notion of incongruity. In addition, it provides a holistic view of past work in computational sarcasm and the challenges and opportunities that lie ahead. Sarcastic text is a peculiar form of sentiment expression and computational sarcasm refers to computational techniques that process sarcastic text. To first understand the phenomenon of sarcasm, three studies are conducted: (a) how is sarcasm annotation impacted when done by non-native annotators (b) How is sarcasm annotation impacted when the task is to distinguish between sarcasm and irony And (c) can targets of sarcasm be identified by humans and computers. Following these studies, the book proposes approaches for two research problems: sarcasm detection and sarcasm generation. To detect sarcasm, incongruity is captured in two ways: 'intra-textual incongruity' where the authors look at incongruity within the text to be classified (i.e., target text) and 'context incongruity' where the authors incorporate information outside the target text. These approaches use machine-learning techniques such as classifiers, topic models, sequence labelling, and word embeddings. These approaches operate at multiple levels: (a) sentiment incongruity (based on sentiment mixtures), (b) semantic incongruity (based on word embedding distance), (c) language model incongruity (based on unexpected language model), (d) author's historical context (based on past text by the author), and (e) conversational context (based on cues from the conversation). In the second part of the book, the authors present the first known technique for sarcasm generation, which uses a template-based approach to generate a sarcastic response to user input. This book will prove to be a valuable resource for researchers working on sentiment analysis, especially as applied to automation in social media. 156 pp. Englisch. N� de r�f. du vendeur 9789811341397

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Investigations in Computational Sarcasm

Aditya Joshi

Edit� par Springer Nature Singapore, Springer Nature Singapore, 2019

ISBN 10 : 9811341397 ISBN 13 : 9789811341397

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes the authors' investigations of computational sarcasm based on the notion of incongruity. In addition, it provides a holistic view of past work in computational sarcasm and the challenges and opportunities that lie ahead. Sarcastic text is a peculiar form of sentiment expression and computational sarcasm refers to computational techniques that process sarcastic text. To first understand the phenomenon of sarcasm, three studies are conducted: (a) how is sarcasm annotation impacted when done by non-native annotators (b) How is sarcasm annotation impacted when the task is to distinguish between sarcasm and irony And (c) can targets of sarcasm be identified by humans and computers. Following these studies, the book proposes approaches for two research problems: sarcasm detection and sarcasm generation. To detect sarcasm, incongruity is captured in two ways: 'intra-textual incongruity' where the authors look at incongruity within the text to be classified (i.e., target text) and 'context incongruity' where the authors incorporate information outside the target text. These approaches use machine-learning techniques such as classifiers, topic models, sequence labelling, and word embeddings. These approaches operate at multiple levels: (a) sentiment incongruity (based on sentiment mixtures), (b) semantic incongruity (based on word embedding distance), (c) language model incongruity (based on unexpected language model), (d) author's historical context (based on past text by the author), and (e) conversational context (based on cues from the conversation). In the second part of the book, the authors present the first known technique for sarcasm generation, which uses a template-based approach to generate a sarcastic response to user input. This book will prove to be a valuable resource for researchers working on sentiment analysis, especially as applied to automation in social media. N� de r�f. du vendeur 9789811341397

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Investigations in Computational Sarcasm

Aditya Joshi

Edit� par Springer Nature Singapore, Springer Nature Singapore Jan 2019, 2019

ISBN 10 : 9811341397 ISBN 13 : 9789811341397

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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

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Taschenbuch. Etat : Neu. Neuware -This book describes the authors� investigations of computational sarcasm based on the notion of incongruity. In addition, it provides a holistic view of past work in computational sarcasm and the challenges and opportunities that lie ahead. Sarcastic text is a peculiar form of sentiment expression and computational sarcasm refers to computational techniques that process sarcastic text. To first understand the phenomenon of sarcasm, three studies are conducted: (a) how is sarcasm annotation impacted when done by non-native annotators (b) How is sarcasm annotation impacted when the task is to distinguish between sarcasm and irony And (c) can targets of sarcasm be identified by humans and computers. Following these studies, the book proposes approaches for two research problems: sarcasm detection and sarcasm generation. To detect sarcasm, incongruity is captured in two ways: �intra-textual incongruity� where the authors look at incongruity within the text to be classified (i.e., target text) and �context incongruity� where the authors incorporate information outside the target text. These approaches use machine-learning techniques such as classifiers, topic models, sequence labelling, and word embeddings. These approaches operate at multiple levels: (a) sentiment incongruity (based on sentiment mixtures), (b) semantic incongruity (based on word embedding distance), (c) language model incongruity (based on unexpected language model), (d) author�s historical context (based on past text by the author), and (e) conversational context (based on cues from the conversation). In the second part of the book, the authors present the first known technique for sarcasm generation, which uses a template-based approach to generate a sarcastic response to user input. This book will prove to be a valuable resource for researchers working on sentiment analysis, especially as applied to automation in social media.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 156 pp. Englisch. N� de r�f. du vendeur 9789811341397

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