The Boeing Company

Daniel John Pierce

Yuan-Jye Wu

Stephen Robert Poteet

Fredrick Baden Holt

Anne Shu-Wan Kao

Andrew James Booker

Mark Thomas Greaves

Michelle Keim Condliff

D Dean Billheimer

Methods, apparatus and computer program products are provided for retrieving information from a text data collection and for classifying a document into none, one or more of a plurality of predefined classes. In each aspect, a representation of at least a portion of the original matrix is projected into a lower dimensional subspace and those portions of the subspace representation that relate to the term(s) of the query are weighted following the projection into the lower dimensional subspace. In order to retrieve the documents that are most relevant with respect to a query, the documents are then scored with documents having better scores being of generally greater relevance. Alternatively, in order to classify a document, the relationship of the document to the classes of documents is scored with the document then being classified in those classes, if any, that have the best scores.

Methods, apparatus and computer program products for information retrieval and document classification utilizing a multidimensional subspace

A text mining program is provided that allows a user to perform text mining operations, such as: information retrieval, term and document visualization, term and document clustering, term and document classification, summarization of individual documents and groups of documents, and document cross-referencing. This is accomplished by representing the text of a document collection using subspace transformations. This subspace transformation representation is performed by: constructing a term frequency matrix of the term frequencies for each of the documents, transforming the term frequencies for statistical purposes, and projecting the documents or the terms into a lower dimensional subspace. As the document collection is updated, the subspace is dynamically updated to reflect the new document collection.

Method and system for text mining using multidimensional subspaces

Growing community of inventors

Woodinville, WA, United States of America

Daniel John Pierce