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Issues In Text Mining

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2.4 Issues in Text Mining
The main challenging issue in text mining rises from the complexity of a natural language itself. The natural language is not free from ambiguity problem. Ambiguity means the capability of being understood in one or more possible ways. In a text document one word can have more than one meanings and one phrase or sentence can be interpreted in many ways which directed to alter meanings of statement. Here some of the issues are discussed as follows,
Intermediate Form
Intermediate forms with variable degrees of complexity are appropriate for different mining purposes. For a domain-specific knowledge discovery task, it is essential to perform linguistics analysis to derive a sufficiently rich representation to capture …show more content…

Definitely, domain knowledge can be used as early as within the more than a few varieties of text processing stage. It is interesting to detect ways to take advantage of domain information to strengthen parsing efficiency and derive an extra dense intermediate form. Domain knowledge may additionally play a critical function in a part of knowledge extraction. In a classification or predictive modeling task, domain competencies help to enhance learning or mining efficiency and satisfactory of mined skills.
1.5 Applications of Text Mining The technology of text mining is now mostly applied for a various fields like research, business and governments. The applications of text mining can be organized into a various number of categories by type analysis or by business analysis.
Security Applications Most of the texts mining software packages are promoted for the security applications, specifically observing and analyzing the online text sources like email, blogs, web news, etc. for the national security purpose. It is also concerned with the study of text encryption and decryption techniques and intrusion …show more content…

In this chapter we have delineated the introduction of text mining, text mining processing drift, applications of text mining, challenges and issues in text mining. Mining text data in different languages is also a major problem of this field, since text mining tools and approaches should be able to work with quite a lot of languages and multilingual languages. Integrating domain knowledge with text mining engine would increase its efficiency, especially within the discipline of information retrieval, information extraction and natural language processing

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