Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Verbs speak loud: verb categories in learning polarity and strength of opinions
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Focusing solutions for data mining: analytical studies and experimental results in real-world domains
Learning opinions in user-generated web content
Natural Language Engineering
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This paper shows that a detailed, although non-emotional, description of event or an action can be a reliable source for learning opinions. Empirical results illustrate the practical utility of our approach and its competitiveness in comparison with previously used methods.