A COMPARATIVE APPROACH OFTEXT MINING: CLASSIFICATION, CLUSTERING ANDEXTRACTION TECHNIQUES

Surya Bhupal Rao
2020 JOURNAL OF MECHANICS OF CONTINUA AND MATHEMATICAL SCIENCES  
The amount of text generated a day dramatically increases. Computers cannot easily process and perceive this enormous amount of mostly unstructured text. Therefore, to discover useful patterns, efficient and effective techniques and algorithms are required. Text mining is the process of extracting meaningful information from the text, which has received considerable attention in recent years. In this paper, we discuss several of the most basic tasks and techniques of text mining, including
more » ... rocessing, classification, and clustering. We also explain briefly text mining in the fields of biomedicine and health care.
doi:10.26782/jmcms.spl.5/2020.01.00010 fatcat:r7wxb3eyrrd75bownfhzosqzci