Patent semantics : analysis, search and visualization of large text corpora
Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Main Author: | |
---|---|
Other Authors: | |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2006
|
Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/33146 |
_version_ | 1826212676707024896 |
---|---|
author | Lucas, Christopher G |
author2 | Deb K. Roy. |
author_facet | Deb K. Roy. Lucas, Christopher G |
author_sort | Lucas, Christopher G |
collection | MIT |
description | Thesis (M. Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. |
first_indexed | 2024-09-23T15:32:54Z |
format | Thesis |
id | mit-1721.1/33146 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T15:32:54Z |
publishDate | 2006 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/331462019-04-12T07:16:36Z Patent semantics : analysis, search and visualization of large text corpora Lucas, Christopher G Deb K. Roy. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. 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.and S.B. 2006-06-19T17:45:12Z 2006-06-19T17:45:12Z 2004 2004 Thesis http://hdl.handle.net/1721.1/33146 62256204 eng 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 48 leaves 2507435 bytes 2507882 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
spellingShingle | Electrical Engineering and Computer Science. Lucas, Christopher G Patent semantics : analysis, search and visualization of large text corpora |
title | Patent semantics : analysis, search and visualization of large text corpora |
title_full | Patent semantics : analysis, search and visualization of large text corpora |
title_fullStr | Patent semantics : analysis, search and visualization of large text corpora |
title_full_unstemmed | Patent semantics : analysis, search and visualization of large text corpora |
title_short | Patent semantics : analysis, search and visualization of large text corpora |
title_sort | patent semantics analysis search and visualization of large text corpora |
topic | Electrical Engineering and Computer Science. |
url | http://hdl.handle.net/1721.1/33146 |
work_keys_str_mv | AT lucaschristopherg patentsemanticsanalysissearchandvisualizationoflargetextcorpora |