Recognizing subjective sentences: a computational investigation of narrative text
Recognizing subjective sentences: a computational investigation of narrative text
Effects of adjective orientation and gradability on sentence subjectivity
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Recognizing contextual polarity in phrase-level sentiment analysis
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Identifying types of claims in online customer reviews
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Learning sentiments from tweets with personal health information
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
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Current research in automatic subjectivity analysis deals with various kinds of subjective statements involving human attitudes and emotions. While all of them are related to subjectivity, these statements usually touch on multiple dimensions such as non-objectivity, uncertainty, vagueness, non-objective measurability, imprecision, and ambiguity, which are inherently different. This paper discusses the differences and relations of six dimensions of subjectivity. Conceptual and linguistic characteristics of each dimension will be demonstrated under different contexts.