Basant Agarwal,
Richi Nayak,
Namita Mittal,
Srikanta Patnaik
e.a.
Springer Nature Singapore
e druk, 2020
9789811512155
Deep Learning-Based Approaches for Sentiment Analysis
Specificaties
Gebonden, blz.
|
Engels
Springer Nature Singapore |
e druk, 2020
ISBN13: 9789811512155
Rubricering
Juridisch
:
Onderdeel van serie
Algorithms for Intelligent Systems
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9789811512155
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer Nature Singapore
Inhoudsopgave
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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