| Content analysis of documents using neural networks： A study of Antarctic science research articles published in international journals |
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| 作者单位： | [1]Ministry of Earth Science, Prithvi Bhavan, Lodi Road, New Delhi 110003, India [2]Tata Consultancy Services （TCS）, 4th ＆ 5th Floor, PTI building, Parliament street, New Delhi 110001, India |
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| 基金项目： | Acknowledgements The authors express their deep appreciation and grati- tude to Prof. Joseph Woelfel, Department of Communication, State University of New York at Buffalo for his guidance and support for the study. The authors are also thankful to Prof. Robert Hanneman, University of California, Riverside, USA for providing suggestions in doing the analysis. |
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| 摘 要： | Content analysis of scientific papers emanating from Antarctic science research during the 25 years period （1980-- 2004） has been carried out using neural network based algorithm-CATPAC. A total of 10 942 research articles published in Science Citation Indexed （SCI） journals were used for the study. Normalized co-word matrix from 35 most-used significant words was used to study the semantic association between the words. Structural Equivalence blocks were constructed from these 35 most-used words. Four-block model solution was found to be optimum. The density table was dichotomized using the mean density of the table to derive the binary matrix, which was used to construct the network map. Network maps represent the thematic character of the blocks. The blocks showed preferred connection in establishing semantic relationship with the blocks, characterizing thematic composition of Antarctic science research. The analysis has provided an analytical framework for carrying out studies on the con- tent of scientific articles. The paper has shown the utility of co-word analysis in highlighting the important areas of research in Antarctic science.
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| 关 键 词： | 神经网络算法 科学研究 国际期刊 南极 文件内容 科学引文索引 网络地图 文件显示 |
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