Text Mining

Text mining means extracting useful information from text. Text mining starts with structuring of the input text (tagging/parsing into structured form, entry into a database). This is followed by the process of deriving patterns relevant to the application within the structured data, and by interpretation of these patterns. Text mining often includes text categorization and clustering, entity extraction, sentiment analysis, summarization, and entity relation analysis.

Originally, the term Text Mining comes from combining the words "text" and "data mining". Thus, it was meant to be a buzzword, but failed.