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

摘要

针对文献热点发现方法存在的指标单一、高频常用词过滤效果不明显等问题，将TDT领域的生命周期理论和TF＊PDF方法应用到文献热点发现中，通过跟踪词在时间上的变化率来发现热点测，并确定热点出现的具体时间。实验结果表明，该方法能够有效过滤掉高频常用词，对各时间窗内的研究热点有较高的识别率。%There are some shortcomings of hot topic detection in literature,such as single index and the inefficient filte- ring 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 identitying hot research topics in time windows.