Techniques on text mining

Knowledge discovery from textual database refers generally to the process of extracting interesting or non-retrieval patterns or knowledge from unstructured text documents. This is also called as text data mining or knowledge discovery. It can be viewed as an extension of data mining or knowledge from structured databases. At present, the stored information is increasing tremendously day by day. This is unstructured form so we can not extract the needed information. Some data mining techniques are used to extract the useful information from text documents, such as classification, clustering, visualization and information extraction. Here framework of text mining with techniques is discussed as well as benefits and limitations of text mining have been discussed.