Artículos relacionados a Emotion Detection in Natural Language Processing (Synthesis...
Emotion Detection in Natural Language Processing (Synthesis Lectures on Human Language Technologies) - Tapa dura
Sinopsis
This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (NLU) models and applications. The author presents an introduction to emotion as well as the ethical considerations on emotion annotation. State-of-the-art approaches to emotion annotation in NLP and NLU including rule-based, machine learning, and deep learning applications are addressed. Theoretical foundations of emotion and the implication on emotion annotation are discussed along with the current challenges and limitations in emotion annotation. This book is appropriate for researchers and practitioners in the field of NLP and NLU and anyone interested in the intersection of natural language and emotion.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Federica Cavicchio, Ph.D., is a Researcher at the University of Salento. Additionally, she is a scientific consultant with extensive experience assisting companies with developing Artificial Intelligence, Natural Language Processing, and Natural Language Understanding applications. Dr. Cavicchio obtained her Ph.D. in Cognitive Neuroscience at CIMeC (Centre for Interdepartmental studies on Mind and Brain), University of Trento, focusing on computational aspects of the expression of emotion. She was awarded a Marie Curie fellowship, which allowed her to work on bilingualism at the University of Birmingham (UK). Subsequently, she was a post-doc at the University of Haifa, where she investigated the compositionality of emotional expressions.
De la contraportada
This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (NLU) models and applications. The author presents an introduction to emotion as well as the ethical considerations on emotion annotation. State-of-the-art approaches to emotion annotation in NLP and NLU including rule-based, machine learning, and deep learning applications are addressed. Theoretical foundations of emotion and the implication on emotion annotation are discussed along with the current challenges and limitations in emotion annotation. This book is appropriate for researchers and practitioners in the field of NLP and NLU and anyone interested in the intersection of natural language and emotion.
In addition, this book:
- Discusses current challenges and limitations along with the ethical considerations on emotion annotation
- Presents an accessible introduction to annotating emotions and discusses how to improve NLP and NLU applications
- Provides overview of the current state-of-the-art approaches to emotion annotation in NLP
"Sobre este título" puede pertenecer a otra edición de este libro.
Comprar nuevo
Ver este artículo
EUR 29,95
EUR 11,00 gastos de envío desde Alemania a España
Destinos, gastos y plazos de envíoResultados de la búsqueda para Emotion Detection in Natural Language Processing (Synthesis...
Imagen de archivo
Emotion Detection in Natural Language Processing (Synthesis Lectures on Human Language Technologies)
Librería: Buchpark, Trebbin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 43043663/1
Cantidad disponible: 2 disponibles
Imagen del vendedor
Emotion Detection in Natural Language Processing
Publicado por
Springer, Berlin, Springer Nature Switzerland, Springer, 2024
ISBN 10: 3031720466
ISBN 13: 9783031720468
Nuevo
Tapa dura
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (NLU) models and applications. The author presents an introduction to emotion as well as the ethical considerations on emotion annotation. State-of-the-art approaches to emotion annotation in NLP and NLU including rule-based, machine learning, and deep learning applications are addressed. Theoretical foundations of emotion and the implication on emotion annotation are discussed along with the current challenges and limitations in emotion annotation. This book is appropriate for researchers and practitioners in the field of NLP and NLU and anyone interested in the intersection of natural language and emotion. 105 pp. Englisch. Nº de ref. del artículo: 9783031720468
Cantidad disponible: 2 disponibles
Imagen del vendedor
Emotion Detection in Natural Language Processing
Publicado por
Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031720466
ISBN 13: 9783031720468
Nuevo
Tapa dura
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (NLU) models and applications. The author presents an introduction to emotion as well as the ethical considerations on emotion annotation. State-of-the-art approaches to emotion annotation in NLP and NLU including rule-based, machine learning, and deep learning applications are addressed. Theoretical foundations of emotion and the implication on emotion annotation are discussed along with the current challenges and limitations in emotion annotation. This book is appropriate for researchers and practitioners in the field of NLP and NLU and anyone interested in the intersection of natural language and emotion. Nº de ref. del artículo: 9783031720468
Cantidad disponible: 1 disponibles
Imagen del vendedor
Emotion Detection in Natural Language Processing
Impresión bajo demandaLibrería: moluna, Greven, Alemania
Calificación del vendedor: 4 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nº de ref. del artículo: 1793301153
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Emotion Detection in Natural Language Processing (Synthesis Lectures on Human Language Technologies)
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Print on Demand. Nº de ref. del artículo: 409154971
Cantidad disponible: 4 disponibles
Imagen de archivo
Emotion Detection in Natural Language Processing (Synthesis Lectures on Human Language Technologies)
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. 2025th edition NO-PA16APR2015-KAP. Nº de ref. del artículo: 26403999300
Cantidad disponible: 4 disponibles
Imagen de archivo
Emotion Detection in Natural Language Processing (Synthesis Lectures on Human Language Technologies)
Impresión bajo demandaLibrería: Biblios, Frankfurt am main, HESSE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18403999310
Cantidad disponible: 4 disponibles
Imagen del vendedor
Emotion Detection in Natural Language Processing
Publicado por
Springer Nature Switzerland, Springer Nature Switzerland Sep 2024, 2024
ISBN 10: 3031720466
ISBN 13: 9783031720468
Nuevo
Tapa dura
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Neuware -This book provides a practical guide on annotating emotions in natural language data and showcases how these annotations can improve Natural Language Processing (NLP) and Natural Language Understanding (NLU) models and applications. The author presents an introduction to emotion as well as the ethical considerations on emotion annotation. State-of-the-art approaches to emotion annotation in NLP and NLU including rule-based, machine learning, and deep learning applications are addressed. Theoretical foundations of emotion and the implication on emotion annotation are discussed along with the current challenges and limitations in emotion annotation. This book is appropriate for researchers and practitioners in the field of NLP and NLU and anyone interested in the intersection of natural language and emotion.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 116 pp. Englisch. Nº de ref. del artículo: 9783031720468
Cantidad disponible: 2 disponibles