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Classifying Papers from Different Computer Science Conferences

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Advanced Data Mining and Applications (ADMA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8346))

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Abstract

This paper analyzes what stylistic characteristics differentiate different styles of writing, and specifically types of different A-level computer science articles. To do so, we compared various full papers using stylistic feature sets and a supervised machine learning method. We report on the success of this approach in identifying papers from the last 6 years of the following three conferences: SIGIR, ACL, and AAMAS. This approach achieves high accuracy results of 95.86%, 97.04%, 93.22%, and 92.14% for the following four classification experiments: (1) SIGIR / ACL, (2) SIGIR / AAMAS, (3) ACL / AAMAS, and (4) SIGIR / ACL / AAMAS, respectively. The Part of Speech (PoS) and the Orthographic sets were superior to all others and have been found as key components in different types of writing.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, Jerusalem College of Technology, 9116001, Jerusalem, Israel

    Yaakov HaCohen-Kerner, Maor Tzidkani & Daniel Nisim Cohen

  2. Department of Industrial Engineering, Jerusalem College of Technology, 9116001, Jerusalem, Israel

    Avi Rosenfeld

Authors
  1. Yaakov HaCohen-Kerner
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  2. Avi Rosenfeld
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  3. Maor Tzidkani
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  4. Daniel Nisim Cohen
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Editor information

Editors and Affiliations

  1. US Air Force Office of Scientific Research, 106-0032, Tokyo, Japan

    Hiroshi Motoda

  2. School of Computer Science and Technology, Zhejiang University, 310027, Hangzhou, China

    Zhaohui Wu

  3. Faculty of Engineering and Information Technology, University of Technology, Chippendale, 2008, Sydney, NSW, Australia

    Longbing Cao

  4. Department of Computing Science, University of Alberta, T6G 2E8, Edmonton, Canada

    Osmar Zaiane

  5. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

    Min Yao

  6. School of Computer Science, Fudan University, 200433, Shanghai, China

    Wei Wang

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© 2013 Springer-Verlag Berlin Heidelberg

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HaCohen-Kerner, Y., Rosenfeld, A., Tzidkani, M., Cohen, D.N. (2013). Classifying Papers from Different Computer Science Conferences. In: Motoda, H., Wu, Z., Cao, L., Zaiane, O., Yao, M., Wang, W. (eds) Advanced Data Mining and Applications. ADMA 2013. Lecture Notes in Computer Science(), vol 8346. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53914-5_45

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  • DOI: https://doi.org/10.1007/978-3-642-53914-5_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53913-8

  • Online ISBN: 978-3-642-53914-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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