Description: Sentiment Analysis and Deep Learning : Proceedings of Icsadl 2022, Paperback by Shakya, Subarna (EDT); Du, Ke-lin (EDT); Ntalianis, Klimis (EDT), ISBN 9811954429, ISBN-13 9789811954429, Like New Used, Free shipping in the US 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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Book Title: Sentiment Analysis and Deep Learning : Proceedings of Icsadl 2022
Number of Pages: Xviii, 1014 Pages
Language: English
Publication Name: Sentiment Analysis and Deep Learning : Proceedings of Icsadl 2022
Publisher: Springer
Subject: Engineering (General), Intelligence (Ai) & Semantics, Computer Vision & Pattern Recognition
Publication Year: 2023
Type: Textbook
Item Weight: 64.9 Oz
Subject Area: Computers, Technology & Engineering
Item Length: 9.3 in
Author: Ke-Lin Du
Series: Advances in Intelligent Systems and Computing Ser.
Item Width: 6.1 in
Format: Trade Paperback