A STUDY OF TEXT MINING METHODS, APPLICATIONS,AND TECHNIQUES
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.6, No. 7)Publication Date: 2017-07-30
Authors : R. Rajamani; S. Saranya;
Page : 623-628
Keywords : Text mining; NLP; IE; IR; Topic tracking; Summarization; clustering; Categorization; Visualization; Association rule;
Abstract
Data mining is used to extract useful information from the large amount of data. It is used to implement and solve different types of research problems. The research related areas in data mining are text mining, web mining, image mining, sequential pattern mining, spatial mining, medical mining, multimedia mining, structure mining and graph mining. Text mining also referred to text of data mining, it is also called knowledge discovery in text (KDT) or knowledge of intelligent text analysis. The process is driving high-quality information from not-structured to semi-structured data. Text mining is the discovery by automatically extracting information from different written resources and also by computer for extracting new, previously unknown information. This paper discusses about the process of text mining, methods, tools, applications and techniques.
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Last modified: 2017-07-19 21:00:15