Deep Learning-Based Approaches for Sentiment Analysis
Download or Read eBook Deep Learning-Based Approaches for Sentiment Analysis PDF written by Basant Agarwal and published by Springer Nature. This book was released on 2020-01-24 with total page 326 pages. Available in PDF, EPUB and Kindle.
Author | : Basant Agarwal |
Publisher | : Springer Nature |
Total Pages | : 326 |
Release | : 2020-01-24 |
ISBN-10 | : 9789811512162 |
ISBN-13 | : 9811512167 |
Rating | : 4/5 (62 Downloads) |
Book Synopsis Deep Learning-Based Approaches for Sentiment Analysis by : Basant Agarwal
Book excerpt: This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. Providing detailed explanations of the methodologies, the book is a valuable resource for researchers as well as newcomers to the field.