Sentimental Analysis and Deep Learning: Proceedings of ICSADL 2021 (1st ed. 2022) (Advances in Intelligent Systems and Computing #1408)

Synopsis

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.

Copyright:

2022

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9789811651571

Related ISBNs:

9789811651564

Publisher:

Springer Singapore, Singapore

Date of Addition:

11/26/21

Copyrighted By:

The Editor

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet, Technology, Mathematics and Statistics

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Subarna Shakya

Edited by:

Valentina Emilia Balas

Edited by:

Sinchai Kamolphiwong

Edited by:

Ke-Lin Du