| 书目名称 | Emotion Detection in Natural Language Processing |
| 编辑 | Federica Cavicchio |
| 视频video | |
| 概述 | Discusses current challenges and limitations along with the ethical considerations on emotion annotation.Presents an accessible introduction to annotating emotions and explains how to improve NLP and |
| 丛书名称 | Synthesis Lectures on Human Language Technologies |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2025 |
| 关键词 | Emotion Annotation; Deep Learning; Emotion Detection; Rule-based Approaches; Natural Language Understand |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-72047-5 |
| isbn_softcover | 978-3-031-72049-9 |
| isbn_ebook | 978-3-031-72047-5Series ISSN 1947-4040 Series E-ISSN 1947-4059 |
| issn_series | 1947-4040 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 19:36:01
