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Deep Learning-Based Approaches for Sentiment Analysis (2020)

Contributor(s): Agarwal, Basant (Editor), Nayak, Richi (Editor), Mittal, Namita (Editor), Patnaik, Srikanta (Editor)

ISBN: 9789811512186

Publisher: Springer

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Pub Date: January 25, 2021

Dewey: 006.3

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to NA

Physical Info: 0.69" H x 9.21" L x 6.14" W ( 1.03 lbs) 319 pages

Series: Algorithms for Intelligent Systems

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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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