Feature-based opinion mining through ontologies

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Opinion mining,Ontology,Sentiment analysis,Feature extraction,Part of speech tagging,Polarity identification

论文评审过程：Available online 24 March 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.03.022