R-Classify: Extracting Research Papers’ Relevant Concepts from a Controlled Vocabulary

“R-Classify: Extracting Research Papers’ Relevant Concepts from a Controlled Vocabulary” is a software paper accepted at Software Impacts. Tanay Aggarwal, Angelo Antonio Salatino, Francesco Osborne, Enrico Motta Knowledge Media Institute, The Open University, Milton Keynes (UK) Abstract In the past few decades, we saw a proliferation of scientific articles available online. This data-rich environment offers several opportunities […]

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CSO Classifier 3.0

Abstract Classifying research papers according to their research topics is an important task to improve their retrievability, assist the creation of smart analytics, and support a variety of approaches for analysing and making sense of the research environment. In this repository, we present the CSO Classifier, a new unsupervised approach for automatically classifying research papers […]

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