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A DESIGN OF SARCASM SENTIMENT DETECTION AND CLASSIFICATION MODEL: A DESIGN OF SARCASM SENTIMENT DETECTION ANDCLASSIFICATION MODEL USINGDEEP LEARNING TECHNIQUES - Couverture souple
Synopsis
evaluating the sentiment of all texts provides organizations with an overview of how positive and negative users are on a given issue. To use sarcasm is to be in a condition of discourse in which the author describes something obviously hostile to the listener or another person with the intent to insult or ridicule them. It is challenging to create a model that can accurately identify sarcasm in the field of natural language processing since sarcasm identification relies heavily on the context of utterances or phrases (NLP). Recent developments in deep learning (DL) models have an impact on neural networks (NN) in learning both lexical and contextual information, doing away with the need for manually constructed features in sarcasm detection. An automated sarcasm identification model has been developed to recognise the original emotion of a given text when sarcasm is present, allowing for accurate sarcasm detection.
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A DESIGN OF SARCASM SENTIMENT DETECTION AND CLASSIFICATION MODEL
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 6206166198
ISBN 13 : 9786206166191
Neuf
Couverture souple
Vendeur : Books Puddle, New York, NY, Etats-Unis
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A DESIGN OF SARCASM SENTIMENT DETECTION AND CLASSIFICATION MODEL
Edité par
LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10 : 6206166198
ISBN 13 : 9786206166191
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -evaluating the sentiment of all texts provides organizations with an overview of how positive and negative users are on a given issue. To use sarcasm is to be in a condition of discourse in which the author describes something obviously hostile to the listener or another person with the intent to insult or ridicule them. It is challenging to create a model that can accurately identify sarcasm in the field of natural language processing since sarcasm identification relies heavily on the context of utterances or phrases (NLP). Recent developments in deep learning (DL) models have an impact on neural networks (NN) in learning both lexical and contextual information, doing away with the need for manually constructed features in sarcasm detection. An automated sarcasm identification model has been developed to recognise the original emotion of a given text when sarcasm is present, allowing for accurate sarcasm detection. 180 pp. Englisch. N° de réf. du vendeur 9786206166191
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A DESIGN OF SARCASM SENTIMENT DETECTION AND CLASSIFICATION MODEL
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 6206166198
ISBN 13 : 9786206166191
Neuf
Couverture souple
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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A DESIGN OF SARCASM SENTIMENT DETECTION AND CLASSIFICATION MODEL
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 6206166198
ISBN 13 : 9786206166191
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: K KavithaI am Dr.K.Kavitha completed Ph.d in Computer Science and Engineering in Acharya Nagarajuna University. Currently I am working as Senior Assistant Professor in IT Department of Aditya Institute of Technology and Management,Te. N° de réf. du vendeur 1046990304
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A DESIGN OF SARCASM SENTIMENT DETECTION AND CLASSIFICATION MODEL
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 6206166198
ISBN 13 : 9786206166191
Neuf
Couverture souple
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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A DESIGN OF SARCASM SENTIMENT DETECTION AND CLASSIFICATION MODEL | A DESIGN OF SARCASM SENTIMENT DETECTION ANDCLASSIFICATION MODEL USINGDEEP LEARNING TECHNIQUES
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 6206166198
ISBN 13 : 9786206166191
Neuf
Taschenbuch
Vendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. A DESIGN OF SARCASM SENTIMENT DETECTION AND CLASSIFICATION MODEL | A DESIGN OF SARCASM SENTIMENT DETECTION ANDCLASSIFICATION MODEL USINGDEEP LEARNING TECHNIQUES | Kavitha K (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206166191 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 127413463
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A DESIGN OF SARCASM SENTIMENT DETECTION AND CLASSIFICATION MODEL
Edité par
LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10 : 6206166198
ISBN 13 : 9786206166191
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -evaluating the sentiment of all texts provides organizations with an overview of how positive and negative users are on a given issue. To use sarcasm is to be in a condition of discourse in which the author describes something obviously hostile to the listener or another person with the intent to insult or ridicule them. It is challenging to create a model that can accurately identify sarcasm in the field of natural language processing since sarcasm identification relies heavily on the context of utterances or phrases (NLP). Recent developments in deep learning (DL) models have an impact on neural networks (NN) in learning both lexical and contextual information, doing away with the need for manually constructed features in sarcasm detection. An automated sarcasm identification model has been developed to recognise the original emotion of a given text when sarcasm is present, allowing for accurate sarcasm detection.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 180 pp. Englisch. N° de réf. du vendeur 9786206166191
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A DESIGN OF SARCASM SENTIMENT DETECTION AND CLASSIFICATION MODEL : A DESIGN OF SARCASM SENTIMENT DETECTION ANDCLASSIFICATION MODEL USINGDEEP LEARNING TECHNIQUES
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 6206166198
ISBN 13 : 9786206166191
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - evaluating the sentiment of all texts provides organizations with an overview of how positive and negative users are on a given issue. To use sarcasm is to be in a condition of discourse in which the author describes something obviously hostile to the listener or another person with the intent to insult or ridicule them. It is challenging to create a model that can accurately identify sarcasm in the field of natural language processing since sarcasm identification relies heavily on the context of utterances or phrases (NLP). Recent developments in deep learning (DL) models have an impact on neural networks (NN) in learning both lexical and contextual information, doing away with the need for manually constructed features in sarcasm detection. An automated sarcasm identification model has been developed to recognise the original emotion of a given text when sarcasm is present, allowing for accurate sarcasm detection. N° de réf. du vendeur 9786206166191
Acheter neuf
EUR 80,86
Expédition à EUR 61,43
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 1 disponible(s)