Description: Deep Learning-Based Approaches for Sentiment Analysis Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Basant Agarwal, Richi Nayak, Namita Mittal, Srikanta Patnaik Format: Paperback Publisher: Springer Verlag, Singapore, Singapore Imprint: Springer Verlag, Singapore ISBN-13: 9789811512186, 978-9811512186 Synopsis 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.
Price: 111.69 GBP
Location: Aldershot
End Time: 2025-01-26T08:57:33.000Z
Shipping Cost: 30.77 GBP
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Book Title: Deep Learning-Based Approaches for Sentiment Analysis
Number of Pages: 319 Pages
Publication Name: Deep Learning-Based Approaches for Sentiment Analysis
Language: English
Publisher: Springer Verlag, Singapore
Item Height: 235 mm
Subject: Engineering & Technology, Computer Science, Mathematics
Publication Year: 2021
Type: Textbook
Item Weight: 510 g
Author: Srikanta Patnaik, Richi Nayak, Namita Mittal, Basant Agarwal
Item Width: 155 mm
Series: Algorithms for Intelligent Systems
Format: Paperback
