Just as data mining techniques provide researchers with an automated method of gleaning unsuspected knowledge from structured electronic data (databases), parallel techniques are being developed to detect patterns and connections in unstructured electronic data (email, documents, websites). Text mining is in its infancy, but it offers hope for conquering the growing knowledge glut.
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- Automated Info Solutions Products and services offering automated collection of data from public web sites. Features overviews and contact information.
- Compris Intelligence Offers solutions for understanding textual content and the automatic comprehension of text meaning by a computer. Features products, news and contact information.
- SAS Text Miner Included in the famous SAS set of tools for quantitative data analysis, the module for text analysis includes clustering algorithms, document categorisation and data extraction. Overview and screenshots.
- IBM: SPSS Software [Win] Natural language processing (NLP) and WordNet-based software to analyze and recode open-ended surveys.
- Untangling Text Data Mining Defines data mining, information access, and corpus-based computational linguistics, and then discusses the relationship of these to text data mining. The intent behind these contrasts is to draw attention to exciting new kinds of problems for computational linguists.
- ContentMine Open-source cross-platform tool for textual analysis. Allows users to compare and collate versions of piece of content.
- National Centre for Text Mining NaCTeM is a UK-based publicly funded text mining center serving primarily the academic community.
- EpiAnalytics Provides cloud-based software for text and content tagging in CRM, survey and social listings. Used for operational business intelligence.