International Journal of Management, IT and Engineering
  • Year: 2015
  • Volume: 5
  • Issue: 9

“A Conceptual Study of Knowledge Discovery Using Text Mining and Its Applications”

  • Author:
  • Ashwini Brahme, S.D. Mundhe
  • Total Page Count: 8
  • Page Number: 174 to 181

* Assistant Professor, Sinhgad Institute of Management and Computer Application (SIMCA), Savitribai Phule Pune University, Pune, Maharashtra, India

** Director, Sinhgad Institute of Management and Computer Application (SIMCA), Savitribai Phule Pune University, Pune, Maharashtra, India

Online published on 25 May, 2016.

Abstract

Text mining is defined as the process of discovering hidden, useful, and interesting patterns from unstructured text documents. Text mining is also known as intelligent text analysis, knowledge discovery in text (KDT), text data mining etc. Text mining is an interdisciplinary field which incorporates data mining, web mining, information retrieval, computational linguistics and natural language processing etc. This research paper is intended towards text mining methodology and its applications. Also it explores on problems in text mining. This Paper is focused on future challenges and areas of text mining and knowledge discovery.

Keywords

Text mining, Data Mining, Knowledge Discovery, KDT, DSS