Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
A vector space model for automatic indexing
Communications of the ACM
A Virtual Environment for Multimedia Intelligence Data Analysis
IEEE Computer Graphics and Applications
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
PIPE: Web Personalization by Partial Evaluation
IEEE Internet Computing
Information retrieval and classification with subspace representations
Computational information retrieval
Filtering search results using an optimal set of terms identified by an artificial neural network
Information Processing and Management: an International Journal
Text mining techniques for patent analysis
Information Processing and Management: an International Journal
Text Visualization for Visual Text Analytics
Visual Data Mining
Filtering search results using an optimal set of terms identified by an artificial neural network
Information Processing and Management: an International Journal
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In this paper we describe a methodology for visualizing large collections of text documents. Our visualization methodology provides a means by which users can alter perspectives and interpret the visualization. This results in an ability to quickly identify trends, outliers, possible clusters while tuning for a particular context.