Classification of Photovoltaic Research Papers by Using Text-Mining Techniques
The research described in this article focuses on one important aspect of monitoring scientific and technological trends and tries to examine topics of research and trends in the photovoltaic field. The data used to examine the research and trends were scientific and technological literature publish...
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Published in | Applied Mechanics and Materials Vol. 284-287; pp. 3362 - 3369 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
2013
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Subjects | |
Online Access | Get full text |
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Summary: | The research described in this article focuses on one important aspect of monitoring scientific and technological trends and tries to examine topics of research and trends in the photovoltaic field. The data used to examine the research and trends were scientific and technological literature published during the last five years, which were exhaustively collected from the two SCI journals that specialize in photovoltaic and solar energy research. In order to analyze the 2,031 academic papers colllected, text-mining was applied. As a result, research topics were identified through document clustering and classified through text categorization into four major subjects; ‘Cell’, ‘Module/Array’, ‘System’ and ‘Relative/Advanced.’ |
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Bibliography: | Selected, peer reviewed papers from the Second International Conference on Engineering and Technology Innovation 2012, November 2 - 6, 2012, Kaohsiung, Taiwan, R. O. C. |
ISBN: | 3037856122 9783037856123 |
ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.284-287.3362 |