基于人工免疫的Web文本自动摘要方法研究

Research on the Method of Web Text Automatic Summarization Based on Artificial Immune

模型,运用人工免疫算法使该模型具有较高的聚类精度和自发现能力,实验结果表明,该模型不仅能够有效对各类Web文本进行摘要,保持较低的错误肯定率和错误否定率,还具有很强的自适应性和更新能力,在算法复杂度上也具备一定优势。

Web text searching is an important aspect of user implementation in the Internet environment. Presents a new Web text automatic summarization method based on artificial immune by com- paring with the traditional methods, the result of experiment shows that the method is high self- adaptive and has evolution ability, it can provide a new research approach to the field of Web text summarization.