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Springer - Textual Emotion Classification Deep Learning Book

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Description

Explore the field of socio-affective computing with this professional text from Springer. Textual Emotion Classification Using Deep Broad Learning provides specialized knowledge in the intersection of computer science and artificial intelligence. This book serves as a resource for those studying AI and machine learning, focusing on how deep learning techniques can be applied to classify emotions within text. It is a targeted addition to any academic or professional library dedicated to advanced computing and internet technologies.

Key Features

Published by Springer, a leading name in academic and scientific literature.

Focuses on the specialized subject of Textual Emotion Classification Using Deep Broad Learning.

Covers essential topics within the field of socio-affective computing.

Provides technical content relevant to AI and machine learning researchers.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 September 2025
Listed Since
23 October 2025

Barcode

No barcode data available

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