Abstract
Text mining is a process with rich semantics of the text were analyzed to understand the content and meaning it contains. Its in-depth research is bound to greatly improve people's ability to extract information from vast amounts of textual data, there is a high commercial value. This paper introduces the case of text data mining, and then gives a framework for text mining, text mining to extract text mining technology and related technical information used in the assessment method and so made a detailed introduction. Many text mining techniques based on data mining technology-based, can be seen from the name, text mining and data mining on the purpose is the same, are trying to extract knowledge from large amounts of information in data mining is from the original data extract, and text mining is extracted from the text material. Open source tools usually do as a business tool as data on a variety of formats provide good support, but there will be a certain format restrictions, or even require their own proprietary data formats. Text mining tools is for the four typical opensource tools, including data format features three modules and user experience. Keywordstext mining; text mining tools; information extraction; information retrieval; data mining
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