A Survey on Text Mining Techniques

Abstract

As there is fast growth in digital data collection techniques it has made way for large amount of data. Greater than 85% of present day data is comprised of unsaturated and unstructured data. Determining the definite patterns and trends to examine a textual data is biggest issue in text mining The various domains associated together in data mining are text mining, web mining, graph mining, and sequencing mining. The selection of proper and correct technique of text mining enhances the hustle and by lowering the period and struggle done to mine important information. Here, we talk about text data mining, various techniques of text data mining and also application of text data mining. Text data mining is used for obtaining stimulating and fascinating designs from the unsaturated texts which are derived from various sources. It changes words, phrases and sentences of an unstructured information into mathematical value linking with the saturated information in the database and analyses it with traditional data mining techniques. Information extraction, information retrieval, summarization, categorization and clustering are the different techniques of text mining.