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Detecting topics from Twitter has been widely studied for understanding social events. There are two types of topics, i.e., global topics attracting widespread tweets with larger volume and local topics drawing attention of limited tweets of somewhere. However, most of existent works neglect the difference between them and suffer from the Long Tail Effect, resulting in the inability to detect the...
Given its importance, the problem of classification in imbalanced data has attracted great attention in recent years. However, few efforts have been made to develop feature selection techniques for the classification of imbalanced data. This paper thus fills this critical void by introducing two approaches for the feature selection of high-dimensional imbalanced data. To this end, after introducing...
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