Sentiment Analysis and Deep Learning: Proceedings of ICSADL 2022

Sentiment Analysis and Deep Learning: Proceedings of ICSADL 2022

Subarna Shakya , Ke-Lin Du , Klimis Ntalianis
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Jan 2, 2023 · 英語 · ペーパーバック (1,032 ページ)
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本の詳細

形式 ペーパーバック
ページ数 1,032
言語 英語
公開されました Jan 2, 2023
出版社 Springer
ISBN-10 9811954429
ISBN-13 9789811954429

説明

The collection delves into the dynamic intersection of sentiment analysis and deep learning, showcasing innovative research and insights from experts in the field. It captures the latest advancements and methodologies discussed during the International Conference on Sentimental Analysis and Deep Learning, reflecting the collective knowledge and collaboration of leading researchers.

Readers will find a wealth of information that illustrates how deep learning techniques are being harnessed to refine sentiment analysis, enhancing its accuracy and applicability across various domains. The proceedings highlight practical applications, theoretical frameworks, and emerging trends that underline the growing significance of AI in understanding human emotions.

Each chapter not only presents cutting-edge research but also serves as a gateway for students, scholars, and industry professionals to explore the transformative power of deep learning in sentiment analysis. This engaging body of work contributes to the ongoing discourse and innovation in data interpretation, making it a valuable resource for anyone interested in the evolving landscape of artificial intelligence and machine learning.

ジャンル

科学&技術 ビジネス&経済
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