Review on Knowledge Extraction Using Classifier |
Author(s): |
| Nirmal Singh , Sri Guru Granth Sahib World University, Fatehgarh Sahib; Shruti Aggarwal, Sri Guru Granth Sahib World University, Fatehgarh Sahib |
Keywords: |
| supervised, unsupervised semi supervised, NLP |
Abstract |
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Text mining is a process of extracting knowledge from large text documents. There are various methods of text mining that are classification, clustering, association and regression. Classification is finding models that analyze and classify a data item into several predefined classes. Models with the help of which data items are classified called classifiers. There are various types of classifiers. Documents are grouped in such a way that there may be the fast retrieval. The main task of classification is mapping a data item into one of several predefined classes. |
Other Details |
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Paper ID: IJSRDV2I6108 Published in: Volume : 2, Issue : 6 Publication Date: 01/09/2014 Page(s): 415-417 |
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