Emotion Detection in Natural Language Processing
Produktnummer:
18ea2c5745d1584d5c811dc6a50be3b8d2
| Autor: | Cavicchio, Federica |
|---|---|
| Themengebiete: | Deep Learning Emotion Annotation Emotion Detection Emotion Dimensions Machine Learning Natural Language Understanding Rule-based Approaches |
| Veröffentlichungsdatum: | 30.09.2024 |
| EAN: | 9783031720468 |
| Sprache: | Englisch |
| Seitenzahl: | 105 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
Produktinformationen "Emotion Detection in Natural Language Processing"
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.
Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen