Nathaniel Moseley

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Automatically determining demographic profile attributes of writers with high accuracy, based on their texts, can be useful for a range of application domains, including smart ad placement, security, the discovery of predator behaviors, enabling automatic enhancement of participants profiles for extended analysis, and various other applications. Attributes(More)
Information from Twitter messages have become an important area for research in computational analysis of natural language. As yet, much latent user attribute analysis on Twitter is unexplored. One reason is that only few latent attributes are explicitly defined by users on Twitter. This work presents and analyzes a data set annotated by Twitter users(More)
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