2026-09-20T03:09:33Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/331462026-06-06T01:04:36Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Deb K. Roy.
Lucas, Christopher G
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-06-19T17:45:12Z
2006-06-19T17:45:12Z
2004
2004
http://hdl.handle.net/1721.1/33146
62256204
Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Includes bibliographical references (leaves 47-48).
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.
by Christopher G. Lucas.
M.Eng.
S.B.
48 leaves
2507435 bytes
2507882 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Patent semantics : analysis, search and visualization of large text corpora
Thesis
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