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International Conference on Artificial Intelligence in Education

AIED 2011: Artificial Intelligence in Education pp 491–493Cite as

Sentiment-Oriented Summarisation of Peer Reviews

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6738))

Abstract

It is common that students peer-review other students’ writing, and these reviews are useful information to instructors, both on the particulars of the essay being reviewed, the feedback provided and the overall progress of the class. This paper describes a novel approach to summarising feedback in academic essay writing. We present a summarisation method for identifying and extracting representative opinion sentences from each feedback. Sentiment score-based techniques are employed and SentiWordNet is used as a linguistic lexical resource for sentiment summarisation. We evaluate our approach with the reviews written by a group of 50 engineering students.

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References

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Author information

Authors and Affiliations

  1. School of Electrical and Information Engineering, University of Sydney, Australia

    Sunghwan Mac Kim & Rafael A. Calvo

Authors
  1. Sunghwan Mac Kim
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  2. Rafael A. Calvo
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Editor information

Editors and Affiliations

  1. EECS Department/ISIS, Vanderbilt University, TN 37235, Nashville, USA

    Gautam Biswas

  2. Electronic, Electrical and Computer Engineering, University of Birmingham, U.K.

    Susan Bull

  3. School of Information Technologies, University of Sydney, 1 Cleveland Street, 2006, Sydney, Australia

    Judy Kay

  4. College of Engineering, Department of Computer Science and Software Engineering, University of Canterbury, Private Bag 4800, 8140, Christchurch, New Zealand

    Antonija Mitrovic

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© 2011 Springer-Verlag Berlin Heidelberg

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Kim, S.M., Calvo, R.A. (2011). Sentiment-Oriented Summarisation of Peer Reviews. In: Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds) Artificial Intelligence in Education. AIED 2011. Lecture Notes in Computer Science(), vol 6738. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21869-9_79

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  • DOI: https://doi.org/10.1007/978-3-642-21869-9_79

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21868-2

  • Online ISBN: 978-3-642-21869-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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