Prominent Feature Extraction for Sentiment Analysis

• Κύριοι συγγραφείς: Agarwal, Basant (Συγγραφέας), Mittal, Namita (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: Socio-Affective Computing,
• Θέματα: Medicine.; Neurosciences.; Data mining.; Text processing (Computer science).; Application software.; Computational linguistics.; Biomedicine.; Document Preparation and Text Processing.; Computational Linguistics.; Data Mining and Knowledge Discovery.; Information Systems Applications (incl. Internet).; Computer Appl. in Social and Behavioral Sciences.

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...

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.