Sentiment Analysis in the Bio-Medical Domain: Techniques, Tools, and Applications - Couverture souple
Livre 7 sur 10: Socio-Affective Computing
Synopsis
Introduction
Sentiment Analysis
Common Tasks in Web Minig
Computational Creativity
Biomedical text mining
The Problem of Sentiment Analysis
Biomedical text mining
The Problem of Sentiment Analysis
Literature Survey
Philosophy and Sentiments
Importance of Common Sense
Medical LexiconsDifferent Levels of Analysis
Philosophy and Sentiments
Importance of Common Sense
Medical LexiconsDifferent Levels of Analysis
Microtext Analysis
Sentic Patterns
Semantic Parsing
Linguistic Rules
ELM Classifier
Evaluation
SenticNet
17 Knowledge Acquisition
18 Knowledge Representation
19 Knowledge-Based Reasoning
Contribution to Sentiment Analysis
20 Computation Creativity and Machine Learning
21 Extending Wordnet for Medical Events
22 Sentiment Extraction from Medical concepts/words
23 Addition of ConceptNet in WME
24 Semantic Network (SemNet) preparation
Conclusion and Future Work
25 Summary of Contributions
26 Deep Learning and its Applicaion in Medical Domain
27 Sentiment Analysis in Stock Market
Index
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
