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Home >> Reference >> Knowledge Management >> Knowledge Discovery >> Text Mining |
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Text mining, likewise referred to as intelligent text analysis, text information mining or knowledge-discovery around text (KDT), refers usually to the run of extracting interesting & non-trivial information and knowledge from unstructured text. Text mining occurs as immature interdisciplinary field which draws on information retrieval, data mining, machine learning, statistics and computational linguistics. When virtually all principles (on top 80%) is stored when text, text mining is believed to have a high commercial possible value.
Recently, text mining is getting great deal attention. Many locate groups in the world, too when R&D departments of big companies, are doing research on text mining. e.g. IBM, Microsoft etc.
One of a big text mining applications that lives is probably a classified ECHELON surveillance system..
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About the Cat-a-Cone A novel user interface that integrates search and browsing of very large category hierarchies with their associated text collections. Features technical papers. About Scatter/Gather Using text clustering as a way to group document according to the overall similarities in their content. Features background information, examples and technical papers. About TileBars 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. Eidetica Netherlands firm offers search and text mining solutions on a hosting basis. Features services, support, portfolio and contact information. Text Mining and the Knowledge Management Space A Semio Corporation white paper. 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. Pertinence Mining Automatic text summarization tools. Includes contact information. Text Mining at Waikato 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 TextAnalyst is a unique text mining tool, using a semantic network for retrieval, clustering, classification, summarization, and natural language querying. TextAI: Text Analysis International Provides NLP applications based on its proprietary VisualText technology. Product and service information, online software tour and documentation. |
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