Sentimental Analysis and Deep Learning

Proceedings of ICSADL 2021

Valentina Emilia Balas editor Subarna Shakya editor Ke-Lin Du editor Sinchai Kamolphiwong editor

Format:Paperback

Publisher:Springer Verlag, Singapore

Published:26th Oct '21

Should be back in stock very soon

Sentimental Analysis and Deep Learning cover

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.

ISBN: 9789811651564

Dimensions: unknown

Weight: unknown

1030 pages

1st ed. 2022