Sentimental Analysis and Deep Learning: Proceedings of ICSADL 2021

Sentimental Analysis and Deep Learning: Proceedings of ICSADL 2021 (Eds) Subarna Shakya, Valentina Emilia Balas, Sinchai Kamolphiwong, Ke-Lin Du
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, 202 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. Categories:
Computers – Computer Science
Volume:
1408
Year:
2022
Edition:
1st ed. 2022
Publisher:
Springer
Language:
english
Pages:
1023
ISBN 10:
9811651574
ISBN 13:
9789811651571
Series:
Advances in Intelligent Systems and Computing
File:
238 MB