Visual analytics of academic writing

  • Authors:

  • Duygu Simsek;Simon Buckingham Shum;Anna De Liddo;Rebecca Ferguson;Ágnes Sándor

  • Affiliations:

  • The Open University, Milton Keynes, UK;The Open University, Milton Keynes, UK;The Open University, Milton Keynes, UK;The Open University, Milton Keynes, UK;Parsing & Semantics Group, Xerox Research Centre Europe, Meylan, France

  • Venue:
  • Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
  • Year:
  • 2014

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Abstract

This paper describes a novel analytics dashboard which visualises the key features of scholarly documents. The Dashboard aggregates the salient sentences of scholarly papers, their rhetorical types and the key concepts mentioned within these sentences. These features are extracted from papers through a Natural Language Processing (NLP) technology, called Xerox Incremental Parser (XIP). The XIP Dashboard is a set of visual analytics modules based on the XIP output. In this paper, we briefly introduce the XIP technology and demonstrate an example visualisation of the XIP Dashboard.