A Detailed Study on Text Mining Techniques
Rashmi Agrawal1, Mridula Batra2
1Rashmi Agrawal, Department of Computer Applications, Manav Rachna International University,Faridabad, India.
2Mridula Batra, Department of Computer Applications, Manav Rachna International University,Faridabad, India.
Manuscript received on January 01, 2013. | Revised Manuscript received on January 02, 2013. | Manuscript published on January 05, 2013. | PP: 118-121 | Volume-2, Issue-6, January 2013. | Retrieval Number: F1120112612/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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 multiorganization 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.
Keywords: Plain, Structured, Text Mining, Web Documents.