Maojin Jiang

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In this paper, we address a relatively new and interesting text categorization problem: classify a political blog as either <i>liberal</i> or <i>conservative</i>, based on its political leaning. Our subjectivity analysis based method is twofold: 1) we identify subjective sentences that contain at least two strong subjective clues based on the General(More)
— This paper addresses a relatively new text categorization problem: classifying a political blog as either 'liberal' or 'conservative', based on its political leaning. Instead of simply using " Bag of Words " features (BoW) as in previous work, we have explored subjectivity manifested in blogs and used subjectivity information thus found to help build(More)
We hypothesize that the variance in volume of high-velocity queries over time can be explained by observing that these queries are formulated in response to events in the world that users are interested in. Based on it, this paper describes a system, ZED, which automatically finds explanations for high velocity queries, by extracting descriptions of(More)
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