Sarcasm is a well-studied phenomenon in the field of linguistics, literature, psychology. It is a sardonic comment coated by humor. It has been used to create inconsistencies and uncertainties in the minds of the listeners while being derisive of them or someone else. The main theme of sarcasm is generally accompanied by a change in tone, body language, and facial expressions during speaking to someone. So it is easier to detect sarcasm in an uttered mode of communication. These indicators are absent at the time when text is specified. Hence, in the case of sentiment analysis or opinion mining, identifying sarcasm from text exhibits an immense challenge to be explored. An automated tool construction for sarcastic pattern identification in the text is favored in this book by employing machine learning, deep learning-based approaches. The foremost objective of this book is to construct computer-aided classification tool that will be devoted to identify sarcasm present in the text which is essentially a complicated task.
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Prof. Shawni Dutta has been associated with the Computer Science department of The Bhawanipur Education Society College, Kolkata. She was honored for 'Young Scientist Award' from VDGOOD Professional Association. She was also awarded 'Best Outstanding Young Scientist National Award 2020 from Kamarajar Institute of Education and Research.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Sarcasm is a well-studied phenomenon in the field of linguistics, literature, psychology. It is a sardonic comment coated by humor. It has been used to create inconsistencies and uncertainties in the minds of the listeners while being derisive of them or someone else. The main theme of sarcasm is generally accompanied by a change in tone, body language, and facial expressions during speaking to someone. So it is easier to detect sarcasm in an uttered mode of communication. These indicators are absent at the time when text is specified. Hence, in the case of sentiment analysis or opinion mining, identifying sarcasm from text exhibits an immense challenge to be explored. An automated tool construction for sarcastic pattern identification in the text is favored in this book by employing machine learning, deep learning-based approaches. The foremost objective of this book is to construct computer-aided classification tool that will be devoted to identify sarcasm present in the text which is essentially a complicated task. 52 pp. Englisch. Bestandsnummer des Verkäufers 9786203463484
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Sarcasm is a well-studied phenomenon in the field of linguistics, literature, psychology. It is a sardonic comment coated by humor. It has been used to create inconsistencies and uncertainties in the minds of the listeners while being derisive of them or someone else. The main theme of sarcasm is generally accompanied by a change in tone, body language, and facial expressions during speaking to someone. So it is easier to detect sarcasm in an uttered mode of communication. These indicators are absent at the time when text is specified. Hence, in the case of sentiment analysis or opinion mining, identifying sarcasm from text exhibits an immense challenge to be explored. An automated tool construction for sarcastic pattern identification in the text is favored in this book by employing machine learning, deep learning-based approaches. The foremost objective of this book is to construct computer-aided classification tool that will be devoted to identify sarcasm present in the text which is essentially a complicated task. Bestandsnummer des Verkäufers 9786203463484
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Sarcasm is a well-studied phenomenon in the field of linguistics, literature, psychology. It is a sardonic comment coated by humor. It has been used to create inconsistencies and uncertainties in the minds of the listeners while being derisive of them or someone else. The main theme of sarcasm is generally accompanied by a change in tone, body language, and facial expressions during speaking to someone. So it is easier to detect sarcasm in an uttered mode of communication. These indicators are absent at the time when text is specified. Hence, in the case of sentiment analysis or opinion mining, identifying sarcasm from text exhibits an immense challenge to be explored. An automated tool construction for sarcastic pattern identification in the text is favored in this book by employing machine learning, deep learning-based approaches. The foremost objective of this book is to construct computer-aided classification tool that will be devoted to identify sarcasm present in the text which is essentially a complicated task.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Bestandsnummer des Verkäufers 9786203463484
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Taschenbuch. Zustand: Neu. Reveal Sarcasm in Text Using an Automated Process | Shawni Dutta | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203463484 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 119750481
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