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Deep Learning-Based Approaches for Sentiment Analysis

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Cover of 'Deep Learning-Based Approaches for Sentiment Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Application of Deep Learning Approaches for Sentiment Analysis
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    Chapter 2 Recent Trends and Advances in Deep Learning-Based Sentiment Analysis
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    Chapter 3 Deep Learning Adaptation with Word Embeddings for Sentiment Analysis on Online Course Reviews
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    Chapter 4 Toxic Comment Detection in Online Discussions
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    Chapter 5 Aspect-Based Sentiment Analysis of Financial Headlines and Microblogs
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    Chapter 6 Deep Learning-Based Frameworks for Aspect-Based Sentiment Analysis
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    Chapter 7 Transfer Learning for Detecting Hateful Sentiments in Code Switched Language
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    Chapter 8 Multilingual Sentiment Analysis
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    Chapter 9 Sarcasm Detection Using Deep Learning-Based Techniques
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    Chapter 10 Deep Learning Approaches for Speech Emotion Recognition
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    Chapter 11 Bidirectional Long Short-Term Memory-Based Spatio-Temporal in Community Question Answering
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    Chapter 12 Comparing Deep Neural Networks to Traditional Models for Sentiment Analysis in Turkish Language
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Title
Deep Learning-Based Approaches for Sentiment Analysis
Published by
Springer Singapore, March 2020
DOI 10.1007/978-981-15-1216-2
ISBNs
978-9-81-151215-5, 978-9-81-151216-2
Editors

Agarwal, Basant, Nayak, Richi, Mittal, Namita, Patnaik, Srikanta

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