ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Text Mining: Survey on Techniques and Applications

Journal: International Journal of Science and Research (IJSR) (Vol.6, No. 6)

Publication Date:

Authors : ; ;

Page : 1660-1664

Keywords : Text Mining; Knowledge Discovery; Classification; Clustering; Summarization;

Source : Downloadexternal Find it from : Google Scholarexternal

Abstract

Text Mining has turned into a vital research zone. Text Mining discloses new and already obscure data, by consequently removing data from various composed assets. In this paper, a Survey of Text Mining strategies and applications have been exhibited. The unstructured text documents from various source contains huge amount of information which are not to be used for any processing to extract useful information. Text mining is the process of extracting significant information or knowledge or patterns from the available unstructured text documents. Text mining tasks includes text categorization, text clustering, document summarization and sentiment analysis. There exist different techniques and tools to mine the text and discover valuable information for future prediction and decision making process. This paper discussed general idea of text mining, explains various techniques used to extract useful information, discussed number of text mining application and tools used for text mining process. In addition of that, this paper discussed issues in the field of text mining.

Last modified: 2021-06-30 19:12:46