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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