Volume 9 Number 10 (Oct. 2014)
Home > Archive > 2014 > Volume 9 Number 10 (Oct. 2014) >
JSW 2014 Vol.9(10): 2749-2757 ISSN: 1796-217X
doi: 10.4304/jsw.9.10.2749-2757

An Improved LDA Model for Academic Document Analysis

Yuyan Jiang, Yuan Shao

School of Management Science and Engineering/Anhui University of Technology, Ma’anshan, China

Abstract—Electronic documents on the Internet are always generated with many kinds of side information. Although those massive kinds of information make the analysis become very difficult, models would fit and analyze data well if they could make full use of those kinds of side information. This paper, base on the study on probabilistic topic model, proposes a new improved LDA model which is suitable for analysis of academic document. Based on the modification of standard LDA model, this new improved LDA model could analyze documents with both authors and references. To evaluate the generalization capability, this paper compares the new model with standard LDA and DMR model using the widely used Rexa dataset. Experimental results show that the new model has a high capability of document clustering and topics extraction than standard LDA and its modifications. In addition, the new model outperforms DMR model in task of authors discriminant.

Index Terms—academic documents; topic model; topics extraction; authors discriminant

[PDF]

Cite: Yuyan Jiang, Yuan Shao, "An Improved LDA Model for Academic Document Analysis," Journal of Software vol. 9, no. 10, pp. 2749-2757, 2014.

General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Quarterly

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, EBSCO,
           CNKIGoogle Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: jsweditorialoffice@gmail.com

  • Jun 12, 2024 News!

    Vol 19, No 2 has been published with online version   [Click]

  • Jan 04, 2024 News!

    JSW will adopt Article-by-Article Work Flow

  • Apr 01, 2024 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Apr 01, 2024 News!

    Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP   [Click]

  • Mar 01, 2024 News!

    Vol 19, No 1 has been published with online version    [Click]