text mining

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text mining

Analyzing natural language in documents, email messages and other free-form text. Text mining attempts to derive meaning from the words and sentences in order to classify documents, route messages appropriately, as well as create summaries of content. For example, email coming to a support site can be analyzed to direct the message to the appropriate technician. See noisy text and data mining.
References in periodicals archive ?
Text mining, also known as text data mining, is designed to acquire implicit knowledge that is hidden in the unstructured text.
Hearst, "Untangling text data mining," in Proceedings of the the 37th annual meeting of the Association for Computational Linguistics (ACL '99), pp.
Text mining is also known as Text Data Mining and Knowledge Discovery in Textual Database (KDT).
Untangling text data mining. In Proceedings of the ACL'99: the 37th Annual Meeting of the Association for Computational Linguistics.
Untangling Text Data Mining. Proceedings of the ACL'99: the 37th Annual Meeting of the Association
The exploration of unstructured documents requires text data mining techniques (Delen and Crossland 2008; Manning, Raghavan, and Schutze 2008) to extract and discover previously unknown, potentially useful, and hidden information, which would not be readily apparent when sifting through the data manually (Han and Kamber 2011).