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Lecture Notes in Computer Science
Scientists exploring a new area of research are interested to know the "hot" topics in that area in order to make informed choices. With exponential growth in scientific literature, identifying such trends manually is not easy. Topic modeling has emerged as an effective approach to analyze large volumes of text. While this approach has been applied on literature in other scientific areas, there has been no formal analysis of bioinformatics literature. Here, we conduct keyword and topicdoi:10.1007/978-3-319-59575-7_25 fatcat:j4k5bw3yovfrpivs66klmplfje