Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Machine Learning
Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
Predicting the semantic orientation of adjectives
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Event threading within news topics
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Discovering evolutionary theme patterns from text: an exploration of temporal text mining
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Determining the sentiment of opinions
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Finding and linking incidents in news
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
A holistic lexicon-based approach to opinion mining
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Introduction to Information Retrieval
Introduction to Information Retrieval
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Mining opinion features in customer reviews
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Mining opinions in comparative sentences
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Fully automatic lexicon expansion for domain-oriented sentiment analysis
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Bipolar person name identification of topic documents using principal component analysis
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
An Unsupervised Approach for Person Name Bipolarization Using Principal Component Analysis
IEEE Transactions on Knowledge and Data Engineering
| Hi-index | 0.00 |
In this paper, we propose an unsupervised approach for multi-polarization of topic person names. We employ a model-based EM method to polarize individuals into positively correlated groups. In addition, we present off-topic block elimination and weighted correlation coefficient techniques to eliminate the off-topic blocks and reduce the text sparseness problem respectively. Our experiment results demonstrate that the proposed method can identify multi-polar person groups of topics correctly.