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Predicting the semantic orientation of adjectives
Open accessAbstract
We identify and validate from a large corpus constraints from conjunctions on the positive or negative semantic orientation of the conjoined adjectives. A log-linear regression model uses these constraints to predict whether conjoined adjectives are of same or different orientations, achieving 82% accuracy in this task when each conjunction is considered independently. Combining the constraints across many adjectives, a clustering algorithm separates the adjectives into groups of different orientations, and finally, adjectives are labeled positive or negative. Evaluations on real data and simulation experiments indicate high levels of performance: classification precision is more than 90% for adjectives that occur in a modest number of conjunctions in the corpus.
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Metadata
- Authors
- Hatzivassiloglou, V., & McKeown, K. R.
- Venue
- Proceedings of the 35th annual meeting on Association for Computational Linguistics -
- Published
- 1997
- Pages
- 174-181
- OpenAlex
- W2199803028
- Cited by
- 1,439
- References
- 2
- FWCI
- 1.91
- Type
- conference paper
- Language
- en
- Open access
- bronze
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