Techniques, Applications and Issues of Text Mining

Abstract

The Tremendous advancements in digital data collecting techniques have resulted in massive large datasets. unstructured data makes up well over 80% of today's data. The identification of wonderful ways and characteristics to learn text - based files from a massive amount of datasets are a major issue. Text mining /Data analytics is the process for identifying interesting and difficult problem patterns in vast quantities of text information. For mining textual material and uncovering useful facts for making predictions and decision making, there are various ways and methods available. Choosing an acceptable and wonderful text/word - based analysis approach improves speed and saves both time required to obtain useful data from huge amount of unstructured data . This research will highlight & study all primary sources carefully and helps in understand few methods/technique’s for text mining. Keywords—Classification; Knowledge Discovery; Applications; Information Extraction; Patterns