9786206166191 - a design of sarcasm sentiment detection and classification model: a design of sarcasm sentiment detection andclassification model usingdeep learning techniques von k, kavitha; tangudu, naresh; ch, suneetha (8 Ergebnisse)
- Softcover
Anbieter: Books Puddle, New York, NY, USABooks Puddle
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 97,94
EUR 3,43 VersandVersand innerhalb von USAAnzahl: 4 verfügbar
Zustand: New.
- Softcover
Anbieter: preigu, Osnabrück, Deutschlandpreigu
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 67,20
EUR 70,00 VersandVersand von Deutschland nach USAAnzahl: 5 verfügbar
Taschenbuch. Zustand: 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.
- Softcover
- Print-on-Demand
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, DeutschlandBuchWeltWeit Ludwig Meier e.K.
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 79,90
EUR 23,00 VersandVersand von Deutschland nach USAAnzahl: 2 verfügbar
Taschenbuch. Zustand: 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 obvious…ly 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.
- Softcover
- Print-on-Demand
Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 98,29
EUR 7,57 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 4 verfügbar
Zustand: New. Print on Demand.
- Softcover
- Print-on-Demand
Anbieter: moluna, Greven, Deutschlandmoluna
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 61,15
EUR 48,99 VersandVersand von Deutschland nach USAAnzahl: Mehr als 20 verfügbar
Zustand: 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.
- Softcover
- Print-on-Demand
Anbieter: Biblios, frankfurt am main, HESSE, DeutschlandBiblios
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Neu
EUR 101,15
EUR 9,95 VersandVersand von Deutschland nach USAAnzahl: 4 verfügbar
Zustand: New. PRINT ON DEMAND.
- Softcover
- Print-on-Demand
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschlandbuchversandmimpf2000
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 79,90
EUR 60,00 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Taschenbuch. Zustand: 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 h…ostile 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.
- Softcover
- Print-on-Demand
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 80,86
EUR 61,43 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Taschenbuch. Zustand: 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 ho…stile 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.
