Text Analytics Article Index for
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Website Links For
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Information About

Text Analytics




A typical application is to scan a set of documents written in a Natural Language and populate a database or search index with the information extracted. Current approaches to text analytics use Natural Language Processing techniques that focus on specialized domains.

Typical subtasks are:

  • Named Entity Recognition : recognition of entity names (for people and organizations), place names, temporal expressions, and certain types of numerical expressions.

  • s that refer to the same object. For example, Anaphora is a type of coreference.

  • Relationship Extraction : extraction of named relationships between entities in text



SEE ALSO




EXTERNAL LINKS


  • http://www.itl.nist.gov/iaui/894.02/related_projects/muc/ MUC

  • http://projects.ldc.upenn.edu/ace/ ACE (LDC)

  • http://www.itl.nist.gov/iad/894.01/tests/ace/ ACE (NIST)



Commercial Software and Applications


  • Clarabridge is a provider of end-to-end text analytics software and solutions for Voice of the Customer, Quality Assurance, Competitive Intelligence and other application areas.

  • TEMIS is a software editor providing innovative Information Discovery solutions to serve the Information Intelligence needs of business corporations.

  • Rapid-I is a provider of predictive analytics, data mining, and text mining software, solutions, and services.



Open-Source Software and Applications


  • RapidMiner - open-source software for data and text mining

  • GATE - Open-source toolbox for text engineering and natural language processing