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 inApplied Mechanics and Materials Vol. 284-287; pp. 3362 - 3369
Main Authors Lee, Hyo Seong, Song, Hae Goo, Lee, Hee Sang
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 2013
Subjects
Text-Mining
Photovoltaic (PV)
Research Paper
Bibliometric
Classification
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Abstract 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.’
AbstractList 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.’
Author Lee, Hyo Seong
Lee, Hee Sang
Song, Hae Goo
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  organization: Sungkyunkwan University : Department of Systems Management Engineering
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Cites_doi 10.1016/j.techfore.2006.05.020
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Keywords Text-Mining
Photovoltaic (PV)
Research Paper
Bibliometric
Classification
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Notes Selected, peer reviewed papers from the Second International Conference on Engineering and Technology Innovation 2012, November 2 - 6, 2012, Kaohsiung, Taiwan, R. O. C.
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Title Classification of Photovoltaic Research Papers by Using Text-Mining Techniques
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