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Emotion Detection in Natural Language Processing

BuchGebunden
105 Seiten
Englisch
Springererscheint am22.11.20242024
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.mehr

Produkt

KlappentextThis 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.

Inhalt/Kritik

Inhaltsverzeichnis
Introduction.- Theoretical Foundations and Detection of Emotions.- Rule-Based Approaches for Emotion Detection.- Machine Learning Approaches to Emotion Detection.- Challenges and Limitations in Emotion Detection Methods.mehr

Schlagworte

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.
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Cavicchio, Federica