Features, demo and case studies of Twid Expert and Temis Online Miner/Categorizer.
A novel user interface that integrates search and browsing of very large category hierarchies with their associated text collections. Features technical papers.
Using text clustering as a way to group document according to the overall similarities in their content. Features background information, examples and technical papers.
An interface which attempts to show the user, graphically, the relationship between the words in the query and the documents retrieved. Features technical papers and commercial and other uses.
Netherlands firm offers search and text mining solutions on a hosting basis. Features services, support, portfolio and contact information.
A Semio Corporation white paper.
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.
Automatic text summarization tools. Includes contact information.
The Text Mining group at the University of Waikato in New Zealand. With a focus on Viterbi search and entropy-based methods the group has a compression feel to it.
TextAnalyst is a unique text mining tool, using a semantic network for retrieval, clustering, classification, summarization, and natural language querying.