Title
Feature-based opinion mining through ontologies.
Abstract
•Opinion mining is a highly active research field comprising natural language processing, computational linguistics.•Current opinion mining approaches are hampered by a number of drawbacks.•We propose an innovative opinion mining methodology that takes advantage of new Semantic Web-guided solutions.•The methodology has been implemented and thoroughly tested in a real-world movie review-themed scenario.
Year
DOI
Venue
2014
10.1016/j.eswa.2014.03.022
Expert Systems with Applications
Keywords
Field
DocType
Opinion mining,Ontology,Sentiment analysis,Feature extraction,Part of speech tagging,Polarity identification
Data science,Data mining,Web mining,Computer science,Web modeling,Artificial intelligence,Social Semantic Web,Ontology (information science),Information retrieval,Social web,Sentiment analysis,Computational linguistics,Web content,Machine learning
Journal
Volume
Issue
ISSN
41
13
0957-4174
Citations 
PageRank 
References 
15
0.63
30
Authors
7