
Sách keo gáy, bìa mềm
This book provides a practical guide on annotating
emotions in natural language data and showcases how these annotations
can improve 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 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 NLU and anyone interested in the intersection of natural
language and emotion.
Content Type:Books
Year:2025
Edition:1
Language:english
Pages:114