This work focuses on subjectivity analysis within online forums, which involves distinguishing between factual and opinionative information. Unlike previous studies, this research models the task as a binary classification of forum threads into either subjective (seeking opinions, emotions, or other private states) or non-subjective (seeking factual information). The study introduces non-lexical, thread-specific features to identify the subjectivity orientation of threads. Experimental results on two popular online forums show that the proposed methods outperform several state-of-the-art subjectivity analysis techniques.
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Biyani, Prakhar, et al. "Using non-lexical features for identifying factual and opinionative threads in online forums." Knowledge-Based Systems 69 (2014): 170-178.
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