Pinpointing sentence-level subjectivity through balanced subjective and objective features

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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. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8686, 311–323. https://doi.org/10.1007/978-3-319-10888-9_32

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