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Sentiment Analysis and Deep Learning - Proceedings of ICSADL 2022 (Paperback, 1st ed. 2023) Loot Price: R5,701
Discovery Miles 57 010
Sentiment Analysis and Deep Learning - Proceedings of ICSADL 2022 (Paperback, 1st ed. 2023): Subarna Shakya, Ke-Lin Du, Klimis...

Sentiment Analysis and Deep Learning - Proceedings of ICSADL 2022 (Paperback, 1st ed. 2023)

Subarna Shakya, Ke-Lin Du, Klimis Ntalianis

Series: Advances in Intelligent Systems and Computing, 1432

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Loot Price R5,701 Discovery Miles 57 010 | Repayment Terms: R534 pm x 12*

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This book gathers selected papers presented at International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022), jointly organized by Tribhuvan University, Nepal and Prince of Songkla University, Thailand during 16 - 17 June, 2022. 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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Series: Advances in Intelligent Systems and Computing, 1432
Release date: 2023
First published: 2023
Editors: Subarna Shakya • Ke-Lin Du • Klimis Ntalianis
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Volumes: 2
Pages: 1014
Edition: 1st ed. 2023
ISBN-13: 978-981-19-5442-9
Categories: Books > Computing & IT > Applications of computing > Databases > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN: 981-19-5442-9
Barcode: 9789811954429

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