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Directory of Text Mining Resources

Home> Reference> Knowledge Management> Knowledge Discovery> Text Mining

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.

Subcategories

• Customer Resource Management
• Software

Resources in This Category

• Automated Info Solutions

  http://www.automated-info-solutions.com/
  Products and services offering automated collection of data from public web sites. Features overviews and contact information.

• Compris Intelligence

  http://www.compris.com/
  Offers solutions for understanding textual content and the automatic comprehension of text meaning by a computer. Features products, news and contact information.

• ContentMine

  http://contentmine.org/
  Open-source cross-platform tool for textual analysis. Allows users to compare and collate versions of piece of content.

• EpiAnalytics

  http://www.epianalytics.com/
  Provides cloud-based software for text and content tagging in CRM, survey and social listings. Used for operational business intelligence.

• IBM: SPSS Software

  http://www-01.ibm.com/software/analytics/spss/
  [Win] Natural language processing (NLP) and WordNet-based software to analyze and recode open-ended surveys.

• National Centre for Text Mining

  http://nactem.ac.uk/
  NaCTeM is a UK-based publicly funded text mining center serving primarily the academic community.

• SAS Text Miner

  http://www.sas.com/technologies/analytics/datamining/textminer/
  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.

• Untangling Text Data Mining

  http://people.ischool.berkeley.edu/~hearst/papers/acl99/acl99-tdm.html
  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.

Related Categories

• Home> Computers> Software> Databases> Data Mining
• Home> Computers> Artificial Intelligence> Natural Language> Tools
• Home> Science> Social Sciences> Methodology> Qualitative> Tools

Home> Reference> Knowledge Management> Knowledge Discovery> Text Mining

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