{
"item_title" : "Deep Learning-Based Approaches for Sentiment Analysis",
"item_author" : [" Basant Agarwal", "Richi Nayak", "Namita Mittal "],
"item_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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Deep Learning-Based Approaches for Sentiment Analysis
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Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9789811512186
- ISBN-10: 9811512183
- Publisher: Springer
- Publish Date: January 2021
- Dimensions: 9.21 x 6.14 x 0.69 inches
- Shipping Weight: 1.03 pounds
- Page Count: 319
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