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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 is a digital product.
Deep Learning-Based Approaches for Sentiment Analysis and published by Springer. The Digital and eTextbook ISBNs for Deep Learning-Based Approaches for Sentiment Analysis are 9789811512162, 9811512167 and the print ISBNs are 9789811512155, 9811512159.

