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Deep Learning-Based Approaches for Sentiment Analysis

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...

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Bibliographic Details
Other Authors: Agarwal, Basant (Editor), Nayak, Richi (Editor), Mittal, Namita (Editor), Patnaik, Srikanta (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2020, 2020
Edition:1st ed. 2020
Series:Algorithms for Intelligent Systems
Subjects:
Image Processing / Digital Techniques
Computer Vision
Computational Intelligence
Mathematical Models Of Cognitive Processes And Neural Networks
Data Mining
Computer Imaging, Vision, Pattern Recognition And Graphics
Neural Networks (computer Science) 
Signal, Speech And Image Processing
Data Mining And Knowledge Discovery
Natural Language Processing (nlp)
Signal Processing
Natural Language Processing (computer Science)
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 1. Application of Deep Learning Approaches for Sentiment Analysis: A Survey
  • Chapter 2. Recent Trends and Advances in Deep Learning based Sentiment Analysis
  • Chapter 3. - Deep Learning Adaptation with Word Embeddings for Sentiment Analysis on Online Course Reviews
  • Chapter 4. Toxic Comment Detection in Online Discussions
  • Chapter 5. Aspect Based Sentiment Analysis of Financial Headlines and Microblogs
  • Chapter 6. Deep Learning based frameworks for Aspect Based Sentiment Analysis
  • Chapter 7. Transfer Learning for Detecting Hateful Sentiments in Code Switched Language
  • Chapter 8. Multilingual Sentiment Analysis
  • Chapter 9. Sarcasm Detection using deep learning
  • Chapter 10. Deep Learning Approaches for Speech Emotion Recognition
  • Chapter 11. Bidirectional Long Short Term Memory Based Spatio-Temporal In Community Question Answering
  • Chapter 12. Comparing Deep Neural Networks to Traditional Models for Sentiment Analysis in Turkish Language

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