| Deep Learning-Based Approaches for Sentiment Analysis 2020 Edition Contributor(s): Agarwal, Basant (Editor), Nayak, Richi (Editor), Mittal, Namita (Editor) |
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ISBN: 9811512159 ISBN-13: 9789811512155 Publisher: Springer OUR PRICE: $170.99 Product Type: Hardcover - Other Formats Published: January 2020 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Electronics - General - Computers | Databases - Data Mining - Computers | Computer Vision & Pattern Recognition |
| Dewey: 006.3 |
| Series: Algorithms for Intelligent Systems |
| Physical Information: 0.75" H x 6.14" W x 9.21" (1.41 lbs) 319 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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.
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