Jae-Bong Yoo

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Learning sentiment models from short texts such as tweets is a notoriously challenging problem due to very strong noise and data sparsity. This paper presents a novel, collabora-tive filtering-based approach for sentiment prediction in twit-ter conversation threads. Given a set of sentiment holders and sentiment targets, we assume we know the true(More)
Although many college courses adopt online tools such as Q&A online discussions, there is no easy way to evaluate their impact on learning. In this paper, we investigate a predictive relation between characteristics of discussion contributions and student performance. For modeling dynamics of conversational dialogue, speech acts (Q&A dialog roles that(More)
public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this(More)
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