Theme Identification Empirical Study on Technical Documentation in Full-text
Ye Chunlei1,2,3, Leng Fuhai1
1. National Science Library, Chinese Academy of Sciences, Beijing 100190, China;
2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China;
3. Information Department, Beijing City University, Beijing 100094, China
Abstract：This paper proposes an improved DT method to identify the theme of the NASA 2011-2020 strategic plan based on multi-word phrases frequency analysis and phrases proximity analysis, adding the term identification of subject. Experiment proves that the improved DT method can identify the theme of documentation in full-text effectively and simply the work of intelligences to some extent.
叶春蕾, 冷伏海. 科技文献全文主题识别方法实证研究[J]. 现代图书情报技术, 2012, 28(1): 53-57.
Ye Chunlei, Leng Fuhai. Theme Identification Empirical Study on Technical Documentation in Full-text. New Technology of Library and Information Service, 2012, 28(1): 53-57.
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