Prominent Feature Extraction for Sentiment Analysis
The objective of this monograph is to improve the performance of the sentiment analysis model by incorporating the semantic, syntactic and common-sense knowledge. This book proposes a novel semantic concept extraction approach that uses dependency relations between words to extract the features from...
Κύριοι συγγραφείς: | , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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Σειρά: | Socio-Affective Computing,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Introduction
- Literature Survey
- Machine Learning Approach for Sentiment Analysis
- Semantic Parsing using Dependency Rules
- Sentiment Analysis using ConceptNet Ontology and Context Information
- Semantic Orientation based Approach for Sentiment Analysis
- Conclusions and FutureWork
- References
- Glossary
- Index.