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Automatic classification of documents with an in-depth analysis of information extraction and automatic summarization

Author(s)
Hohm, Joseph Brandon, 1982-
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Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.
Advisor
John R. Williams.
Terms of use
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
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Abstract
Today, annual information fabrication per capita exceeds two hundred and fifty megabytes. As the amount of data increases, classification and retrieval methods become more necessary to find relevant information. This thesis describes a .Net application (named I-Document) that establishes an automatic classification scheme in a peer-to-peer environment that allows free sharing of academic, business, and personal documents. A Web service architecture for metadata extraction, Information Extraction, Information Retrieval, and text summarization is depicted. Specific details regarding the coding process, competition, business model, and technology employed in the project are also discussed.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2004.
 
Includes bibliographical references (leaves 78-80).
 
Date issued
2004
URI
http://hdl.handle.net/1721.1/29415
Department
Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.
Publisher
Massachusetts Institute of Technology
Keywords
Civil and Environmental Engineering.

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  • Civil and Environmental Engineering - Master's degree
  • Civil and Environmental Engineering - Master's degree

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