期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：2
期号：6
页码：118-121
出版社：International Journal of Soft Computing & Engineering
摘要：Text Mining is an important step of Knowledge Discovery process. It is used to extract hidden information from not-structured or semi-structured data. This aspect is fundamental because most of the Web information is semi- structured due to the nested structure of HTML code, is linked and is redundant. Web Text Mining helps whole knowledge mining process in mining, extraction and integration of useful data, information and knowledge from Web page contents. Web Text Mining process able to discover knowledge in a distributed and heterogeneous multi-organization environment. In this paper, our basic focus is to study the concept of Text Mining and various techniques. Here, we are able to determine how to mine the Plain as well as Structured Text. It also describes the major ways in which text is mined when the input is plain natural language, rather than partially-structured Web documents.
