Deep Learning-Based Approaches for Sentiment Analysis

£139.50

Deep Learning-Based Approaches for Sentiment Analysis

Mathematical modelling Electronics engineering Data mining Artificial intelligence Expert systems / knowledge-based systems Natural language and machine translation Digital signal processing (DSP) Image processing

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Collection: Algorithms for Intelligent Systems

Language: English

Published by: Springer

Published on: 24th January 2020

Format: LCP-protected ePub

Size: 22 Mb

ISBN: 9789811512162


Overview

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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