Deep Learning-Based Approaches for Sentiment Analysis (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Algorithms for Intelligent Systems
Release date:	2020
First published:	2020
Editors:	Basant Agarwal • Richi Nayak • Namita Mittal • Srikanta Patnaik
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	319
Edition:	1st ed. 2020
ISBN-13:	978-981-15-1215-5
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
LSN:	981-15-1215-9
Barcode:	9789811512155

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