Sentimental Analysis and Deep Learning

Proceedings of ICSADL 2021 de

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Éditeur :

Springer


Collection :

Advances in Intelligent Systems and Computing

Paru le : 2021-10-25

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Description
This book gathers selected papers presented at the International Conference on Sentimental Analysis and Deep Learning (ICSADL 2021), jointly organized by Tribhuvan University, Nepal; Prince of Songkla University, Thailand; and Ejesra during June, 18–19, 2021. The volume discusses state-of-the-art research works on incorporating artificial intelligence models like deep learning techniques for intelligent sentiment analysis applications. Emotions and sentiments are emerging as the most important human factors to understand the prominent user-generated semantics and perceptions from the humongous volume of user-generated data. In this scenario, sentiment analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sentiment analysis gains the ability to sense the existing voluminous unstructured data and delivers a real-time analysis to efficiently automate the business processes. Meanwhile, deep learning emerges as the revolutionary paradigm with its extensive data-driven representation learning architectures. This book discusses all theoretical aspects of sentimental analysis, deep learning and related topics.
Pages
1030 pages
Collection
Advances in Intelligent Systems and Computing
Parution
2021-10-25
Marque
Springer
EAN papier
9789811651564
EAN PDF
9789811651571

Informations sur l'ebook
Nombre pages copiables
10
Nombre pages imprimables
103
Taille du fichier
30484 Ko
Prix
231,04 €
EAN EPUB
9789811651571

Informations sur l'ebook
Nombre pages copiables
10
Nombre pages imprimables
103
Taille du fichier
157266 Ko
Prix
231,04 €