English | 1063 pages | Springer; 1st ed. 2022 edition (October 26, 2021) | 9811651566 | PDF | 29.38 Mb
This book gathers selected papers presented at the International Conference on Senntal 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 sennt analysis applications. Emotions and sennts are emeg 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, sennt analysis emerges as a significant breakthrough technology, which can automatically analyze the human emotions in the data-driven applications. Sennt analysis gains the ability to sense the existing voluminous unstructured data and delivers a real- 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 senntal analysis, deep learning and related topics.
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