Study of text based mining

Text based Mining is the process of analyzing a document or set of documents to understand the content and meaning of the information they contain. Text Mining enhances human's ability to Process massive quantities of information and it has high Commercial values. Text mining, sometimes alternately referred to as text data mining, roughly, process of deriving high-quality information from text. High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning. It usually involves the process of structuring the input text deriving patterns within the structured data, and finally evaluation and interpretation of the output. 'High quality' in text mining usually refers to some combination of relevance, novelty, and interestingness. Typical text mining tasks include text categorization, text clustering, concept/entity extraction, analysis and entity relation modeling (i.e., learning relations between named entities).