Deep Learning-Based Approaches for Sentiment Analysis

Deep Learning-Based Approaches for Sentiment Analysis - Algorithms for Intelligent Systems

1st Edition 2020

Hardback (25 Jan 2020)

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Publisher's Synopsis

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.

 


Book information

ISBN: 9789811512155
Publisher: Springer Nature Singapore
Imprint: Springer
Pub date:
Edition: 1st Edition 2020
Language: English
Number of pages: 319
Weight: 664g
Height: 235mm
Width: 155mm
Spine width: 19mm