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Time-Frequency Filtering for Seismic Waves Clustering Read chapter Read first chapter

2014 | OriginalPaper | Chapter

A SVM Applied Text Categorization of Academia-Industry Collaborative Research and Development Documents on the Web

Authors : Kei Kurakawa, Yuan Sun, Nagayoshi Yamashita, Yasumasa Baba

Published in: Analysis and Modeling of Complex Data in Behavioral and Social Sciences

Publisher: Springer International Publishing

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Abstract

A method of automatically extracting Japanese documents describing University-Industry (U-I) relations from the Web is proposed. The proposed method consists of Japanese text processing and support vector machine (SVM) classification. The SVM feature selections were customized for U-I relations documents. The strongest experimental result was 79.95 of accuracy and 81.17 of f-measure.

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previous chapter On Joint Dimension Reduction and Clustering of Categorical Data
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Footnotes
Literature
Aizawa, A. (2003). An information-theoretic perspective of tf-idf measures. Information Processing and Management, 39(1), 45–65. doi:10.1016/S0306-4573(02)00021-3.CrossRefMATHMathSciNet
Bouckaert, R. (2003). Choosing between two learning algorithms based on calibrated tests. In Proceedings of the 20th International Conference on Machine Learning (ICML-2003) (pp. 51–58), Washington, DC.
Leydesdorff, L., & Meyer, M. (2003). The triple helix of university-industry-government relations. Scientometrics, 58(2), 191–203.CrossRef
Salton, G., & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing & Management, 24(5), 513–523.CrossRef
Yang, Y., & Pedersen, J. O. (1997). A comparative study on feature selection in text categorization. In D. H. Fisher (Ed.), Proceedings of ICML-97, 14th International Conference on Machine Learning (pp. 412–420). San Francisco: Morgan Kaufmann.
Metadata
Title
A SVM Applied Text Categorization of Academia-Industry Collaborative Research and Development Documents on the Web
Authors
Kei Kurakawa
Yuan Sun
Nagayoshi Yamashita
Yasumasa Baba
Copyright Year
2014
Book
Analysis and Modeling of Complex Data in Behavioral and Social Sciences

Print ISBN: 978-3-319-06691-2

Electronic ISBN: 978-3-319-06692-9

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-06692-9_19

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