Abstract：There are some shortcomings of hot topic detection in literature,such as single index and the inefficient filtering of high-frequency common words. The paper applies lifecycle theory and TF*PDF algorithm to literature detection, which finds the hot words by tracking the variation of words over time, then locates the time hot words appeared. The results of the empirical tests show that this approach is effective in filtering high frequently used terms and identifying hot research topics in time windows.
赵迎光, 安新颖, 李勇, 贾晓峰. 一种基于生命周期理论的文献热点发现方法——以肿瘤领域为例[J]. 现代图书情报技术, 2012, (11): 86-91.
Zhao Yingguang, An Xinying, Li Yong, Jia Xiaofeng. A Method for Detecting the Hot Topic of Literature Based on Lifecycle——A Case Study of Neoplasm Field. New Technology of Library and Information Service, 2012, (11): 86-91.
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