Abstract
The sentence-level subjectivity classification is a challenging task. This paper pinpoints some of its unique characteristics. It argues that these characteristics should be considered when extracting subjective or objective features from sentences. Through various sentence-level subjectivity classification experiments with numerous feature combinations, we found that balanced features for both subjective and objective sentences help to achieve balanced precision and recall for sentence subjectivity classification.
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Kim, M., Shin, H. (2014). Pinpointing Sentence-Level Subjectivity through Balanced Subjective and Objective Features. In: Przepiórkowski, A., Ogrodniczuk, M. (eds) Advances in Natural Language Processing. NLP 2014. Lecture Notes in Computer Science(), vol 8686. Springer, Cham. https://doi.org/10.1007/978-3-319-10888-9_32
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DOI: https://doi.org/10.1007/978-3-319-10888-9_32
Publisher Name: Springer, Cham
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