Text Mining Technique for Driving Potentially Valuable Information from Text

Abstract

With the growing number of digitized documents and having large text databases, text mining will become increasingly important. Text mining can be a huge benefit for finding relevant and desired text data from unstructured data sources. Text Mining is the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources. It is an important step of Knowledge Discovery process. The aim of the paper is to study the concept of Text Mining and various techniques with a particular focus on text mining process. In the text mining community have been trying to apply many methods such as rule-based, knowledge based, statistical and machine-learning-based approaches. Finally, the paper discusses issues towards the techniques for driving potentially valuable information from text and also, discuss on integration data mining. The paper ends with conclusion and the future line of works in the combining text mining and data mining techniques into a single system, a combination known as duo-mining, and also be more effective text mining techniques for contextual extraction.

Keywords: Data mining, Information Extraction, Information Retrieval, Text Mining

DOI: 10.7176/IKM/10-1-01

Publication date: January 31^st 2020