£112.04

Springer Deep Learning-Based Approaches for Sentiment Analysis

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Description

Explore the latest advancements in sentiment analysis with this comprehensive guide from Springer. As a fast-growing research area, sentiment analysis has undergone significant changes in recent years due to the rise of deep learning. This book provides a collection of state-of-the-art approaches designed to address the most common and difficult challenges in the field. Readers will find detailed explanations of modern methodologies, focusing on the best-performing and cutting-edge solutions available today. Whether you are an experienced researcher looking for high-performance techniques or a newcomer seeking to understand the foundations of intelligent systems, this book serves as a valuable resource for your academic and professional journey in AI and machine learning.

Key Features

Covers state-of-the-art deep learning approaches for modern sentiment analysis research.

Focuses on cutting-edge solutions to solve the most difficult challenges in the field.

Provides detailed explanations of methodologies for both researchers and beginners.

Explores the rapid evolution of sentiment analysis within intelligent systems.

Serves as a technical resource for studying high-performing AI and machine learning models.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 January 2020
Listed Since
26 September 2019

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No barcode data available

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