Knowledge Discovery in Text: A Survey
文本知识发现：基于信息抽取的文本挖掘

In the general context of Knowledge Discovery, Knowledge Discovery in Text (KDT), which uses Text Mining techniques to extract and induce hidden knowledge from unstructured text data, surges in the data and natural language processing research. KDT is a multi-discipline of Artificial Intelligence, Machine learning, Natural Language Processing and Information Extraction & Information Retrieval. This paper presents an overview of Text Mining with a stressing on its IE (Information Extraction)-based induction and specific sublanguage fields oriented practices.