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A Survey of Different Text Mining Techniques


Affiliations
1 Department of Electronics & Comp. Sc, RTMNU, Nagpur, India., India
2 Department of Computer Science, Hislop College, Nagpur, India, India
 

Text mining is a technology that can work with unstructured or semi-structured data. It is a technology that can be used to find the meaningful information from natural language text using existing data in corporate databases by making unstructured text data available for analysis. There are many techniques for text mining. In this paper we describe the techniques, Information Extraction, Information retrieval, Query processing, Natural Language processing, Categorization, Clustering.

Keywords

Text Mining, Natural Language Text, Information Extraction, Information Retrieval, Natural Language Processing, Categorization, Query Processing, Clustering
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Abstract Views: 366

PDF Views: 274




  • A Survey of Different Text Mining Techniques

Abstract Views: 366  |  PDF Views: 274

Authors

Varsha C. Pande
Department of Electronics & Comp. Sc, RTMNU, Nagpur, India., India
A. S. Khandelwal
Department of Computer Science, Hislop College, Nagpur, India, India

Abstract


Text mining is a technology that can work with unstructured or semi-structured data. It is a technology that can be used to find the meaningful information from natural language text using existing data in corporate databases by making unstructured text data available for analysis. There are many techniques for text mining. In this paper we describe the techniques, Information Extraction, Information retrieval, Query processing, Natural Language processing, Categorization, Clustering.

Keywords


Text Mining, Natural Language Text, Information Extraction, Information Retrieval, Natural Language Processing, Categorization, Query Processing, Clustering