一种基于案例分析的文本信息抽取技术

信息抽取技术是深层次分析文本语义信息的基础.随着数据量的增加,尤其是针对海量网络信息分析的需求,传统的基于手动标注或人工干预的训练分类方法已不能满足要求.以“大学生心理健康”相关网页作为信息语料,提出一种基于案例分析的文本数据抽取方法,可以实现跨领域信息自动抽取,能够快速有效地获得满足用户需求的信息.

An information extraction technology based on case analysis

The information extraction technology is the foundation of deeply analysis of semantic context towards text mode. Most of the present modes employed manual annotation or some algorithms needed painful supervised training. Admittedly these ways could calculate the semantic information in some extent, however, the practicability of them is facing the enormous challenge along with increasing data, especially Internet information. To validate the performance, we took the ＂campus psychological healthy＂ and proposed an information extraction technology based on case analysis. The method can realize interdisciplinary information automatic extraction and quickly and efficiently access to meet the needs of users of information.