Probabilistic Latent Semantic Analyses (PLSA) in Bibliometric Analysis for Technology Forecasting

Authors

  • Wang Zan Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China
  • Y.C. TSIM Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China
  • W.S. Yeung Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China
  • K.C. Chan Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China
  • Jinlan Liu School of Management Tianjin University, Tianjin, PR China

Abstract

Due to the availability of internet-based abstract services and patent databases, bibliometric analysis has become one of key technology forecasting approaches. Recently, latent semantic analysis (LSA) has been applied to improve the accuracy in document clustering. In this paper, a new LSA method, probabilistic latent semantic analysis (PLSA) which uses probabilistic methods and algebra to search latent space in the corpus is further applied in document clustering. The results show that PLSA is more accurate than LSA and the improved iteration method proposed by authors can simplify the computing process and improve the computing efficiency

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Author Biographies

Wang Zan, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Y.C. TSIM, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China

W.S. Yeung, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China

K.C. Chan, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China

Jinlan Liu, School of Management Tianjin University, Tianjin, PR China

School of Management Tianjin University, Tianjin, PR China

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Published

2007-03-15

How to Cite

Zan, W., TSIM, Y., Yeung, W., Chan, K., & Liu, J. (2007). Probabilistic Latent Semantic Analyses (PLSA) in Bibliometric Analysis for Technology Forecasting. Journal of Technology Management & Innovation, 2(1), 11–24. Retrieved from https://www.jotmi.org/index.php/GT/article/view/art32

Issue

Vol. 2 No. 1 (2007)

Section

Research Articles

License

Copyright (c) 2007 Journal of Technology Management & Innovation

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