Patent semantics : analysis, search and visualization of large text corpora
Name
62256204-MIT.pdf
Description
Full printable version
Size
3.19 MB
Format
Adobe PDF
Checksum (MD5)
3deb3d8e7efa4b1939ed50e4cc8820a9
Author(s)
Lucas, Christopher G
Advisor(s)
Deb K. Roy.
Date Issued
2004
Publisher
Massachusetts Institute of Technology
Abstract
Patent Semantics is system for processing text documents by extracting features capturing their semantic content, and searching, clustering, and relating them by those same features. It is set apart from existing methodologies by combining a visualization scheme that integrates retrieval and clustering, providing a variety of ways to find and relate documents depending on their goals. In addition, the system provides an explanatory mechanism that makes the retrieval an understandable process rather than a black box. The domain in which the system currently works is biochemistry and molecular biology patents but it is not intrinsically constrained to any document set.
Description
Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Includes bibliographical references (leaves 47-48).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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