Learning Extraction Patterns for Subjective Expressions

@inproceedings{Riloff2003LearningEP,
  title={Learning Extraction Patterns for Subjective Expressions},
  author={Ellen Riloff and Janyce Wiebe},
  booktitle={Conference on Empirical Methods in Natural Language Processing},
  year={2003}
}
  • E. RiloffJ. Wiebe
  • Published in
    Conference on Empirical…
    11 July 2003
  • Computer Science
This paper presents a bootstrapping process that learns linguistically rich extraction patterns for subjective (opinionated) expressions. High-precision classifiers label unannotated data to automatically create a large training set, which is then given to an extraction pattern learning algorithm. The learned patterns are then used to identify more subjective sentences. The bootstrapping process learns many subjective patterns and increases recall while maintaining high precision. 

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