A Survey of Different Text Mining Techniques

Authors

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

DOI:

https://doi.org/10.17697/ibmrd/2014/v3i1/46903

Keywords:

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

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.

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How to Cite

Pande, V. C., & Khandelwal, A. S. (2014). A Survey of Different Text Mining Techniques. IBMRD’s Journal of Management & Research, 3(1), 125–133. https://doi.org/10.17697/ibmrd/2014/v3i1/46903

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