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Classification of Topic Evolutions in Scientific Conferences

Abstract—The number of scientific publications have been increasing explosively in recent years. Although scholar searching engines and recommendation systems help to find relevant papers, neither of them can build overviews of a certain scientific conference, which is more meaningful and important for researchers to keep up with academic trends. In this paper, we propose the concepts of topic trend and positive topic trend, and then declare the formal and quantitative definitions of topic categories, including hot topic, sunrise topic, sunset topic and emerging topic. We design an LDA-based framework to classify research topics of papers in a scientific conference into topic categories. Experiments are then constructed to study the best parameters for detecting different topic categories.