Ontology‐supported polarity mining
Open Access
- 10 October 2007
- journal article
- research article
- Published by Wiley in Journal of the American Society for Information Science and Technology
- Vol. 59 (1), 98-110
- https://doi.org/10.1002/asi.20735
Abstract
Polarity mining provides an in-depth analysis of semantic orientations of text information. Motivated by its success in the area of topic mining, we propose an ontology-supported polarity mining (OSPM) approach. The approach aims to enhance polarity mining with ontology by providing detailed topic-specific information. OSPM was evaluated in the movie review domain using both supervised and unsupervised techniques. Results revealed that OSPM outperformed the baseline method without ontology support. The findings of this study not only advance the state of polarity mining research but also shed light on future research directions.Keywords
This publication has 33 references indexed in Scilit:
- A Reference Architecture for Natural Language Generation SystemsNatural Language Engineering, 2006
- Retrieval effectiveness of an ontology-based model for information selectionThe VLDB Journal, 2004
- Evaluating collaborative filtering recommender systemsACM Transactions on Information Systems, 2004
- Measuring praise and criticismACM Transactions on Information Systems, 2003
- Ontology-based knowledge managementComputer, 2002
- Summarizing Scientific Articles: Experiments with Relevance and Rhetorical StatusComputational Linguistics, 2002
- Ontology-based photo annotationIEEE Intelligent Systems, 2001
- Yahoo! for Amazon: Sentiment Parsing from Small Talk on the WebSSRN Electronic Journal, 2001
- Text-learning and related intelligent agents: a surveyIEEE Intelligent Systems and their Applications, 1999
- Formal ontology, conceptual analysis and knowledge representationInternational Journal of Human-Computer Studies, 1995