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A Framework for Enhanced Text Classification in Sensitivity and Reputation Management

Sixth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2015) (FDIA 2015)

Future Directions in Information Access

31 August - 4 September 2015

Information retrieval, Text classification, Sensitive information

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      Freedom of Information (FOI) laws state that government documents should be open to the public. However, many government documents contain sensitive information that is exempt from release. In this PhD programme, we aim to develop a framework that can automatically classify sensitive information in documents. However, automatic classification of sensitive information is a complex task that requires a relative judgement on the effect of a combination of factors. In this paper, we present an overview of the features of sensitivity that we can use to automatically classify documents containing FOI exemptions, such as International Relations. Moreover, we argue that current Named Entity Recognition (NER) approaches to classifying sensitive information are not appropriate for classifying FOI exemptions and, therefore, we need classification models that consider the document’s content and context at the time of classification.

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      School of Computing Science

      University of Glasgow


      G12 8QQ
      September 2015
      September 2015
      : 56-58
      © McDonald. Published by BCS Learning and Development Ltd. Proceedings of the 6 th Symposium on Future Directions in Information Access 2015

      This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit

      Sixth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2015)
      FDIA 2015
      Thessaloniki, Greece
      31 August - 4 September 2015
      Electronic Workshops in Computing (eWiC)
      Future Directions in Information Access
      Product Information: 1477-9358 BCS Learning & Development
      Self URI (journal page):
      Electronic Workshops in Computing


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