Predicting Responses and Discovering Social Factors in Scientific Literature
نویسندگان
چکیده
We consider the problem of predicting measurable responses to scientific articles based primarily on their text content. Specifically, we consider papers in two fields (economics and computational linguistics) and make predictions about downloads and within-community citations. Our first two models investigate temporal and spatial aspects of scientific community’s interests. A third model which jointly summarizes scientific articles when making predictions is also presented. Lastly, we propose a generative approach to explore what social factors influence written scientific articles.
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