基于数据挖掘的新词发现

Approach for Lexicon Updating Based on Data Mining

利用文本挖掘技术提出了一种用于主题式搜索引擎的专业词典库发现新专业词汇的方法,详述了如何通过关联规则挖掘来实现专业词典库的扩展,并在此基础上进行了小样本实验,实验结果显示该方法有效可行。

This article proposes an approach to mining new key words for the search engines based on topic lexicon, and describes in detail the implementation of lexicon extension depend on mining association rules. Experimental results show that the approach is effective and feasible.