10 Facts About Text mining

Text mining, referred to as text data mining, similar to text analytics, is the process of deriving high-quality information from text.

Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output.

Text mining technology is broadly applied to a wide variety of government, research, and business needs.

Text mining is being used by large media companies, such as the Tribune Company, to clarify information and to provide readers with greater search experiences, which in turn increases site "stickiness" and revenue.

Text mining analytics is being used in business, particularly, in marketing, such as in customer relationship management.

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Text mining has been used to detect emotions in the related area of affective computing.

Text mining based approaches to affective computing have been used on multiple corpora such as students evaluations, children stories and news stories.

Issue of text mining is of importance to publishers who hold large databases of information needing indexing for retrieval.

Text mining is used in some email spam filters as a way of determining the characteristics of messages that are likely to be advertisements or other unwanted material.

Text mining plays an important role in determining financial market sentiment.