A Conceptual Based Approach in Text Mining: Techniques and Applications
G. L. Anand Babu1, B. Srinivasu2

1G. L.Anand Babu, Department of Information Technology, Anurag Group of Institutions, Hyderabad (Telangana), India.
2Dr. B.Srinivasu, Department of Computer Science and Engineering, Stanley College of Engineering, Hyderabad (Telangana), India.
Manuscript received on 01 May 2019 | Revised Manuscript received on 15 May 2019 | Manuscript published on 30 May 2019 | PP: 1779-1781 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5304058719/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In increasing the development and application of digital data in various fields, the discovery of knowledge and the extraction of texts show great consideration for the most useful information and knowledge. The main concern is the application of appropriate schemes and activities to analyze text documents from a large volume of data. For decision making and future expectations, we use different methods and tools to undermine the text and determine the appropriate information. To improve speed and reduce the time and effort required to extract valuable information, correct and correct methods for extracting text must be applied. The article presents precisely on the evaluation of text mining techniques and their applications in different fields of life.
Keyword: Text Mining, Classification, Clustering, Summarization, Information Extraction, Information Retrieval.
Scope of the Article: Network Based Applications.