Sentiment Analysis and Deep Learning

Sentiment Analysis and Deep Learning
Author :
Publisher : Springer Nature
Total Pages : 987
Release :
ISBN-13 : 9789811954436
ISBN-10 : 9811954437
Rating : 4/5 (37 Downloads)

Book Synopsis Sentiment Analysis and Deep Learning by : Subarna Shakya

Download or read book Sentiment Analysis and Deep Learning written by Subarna Shakya and published by Springer Nature. This book was released on 2023-01-01 with total page 987 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at International Conference on Sentimental Analysis and Deep Learning (ICSADL 2022), jointly organized by Tribhuvan University, Nepal and Prince of Songkla University, Thailand during 16 – 17 June, 2022. 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.


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