2026-09-18T21:55:36Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/855012026-06-06T00:56:08Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Regina Barzilay.
Soetjipto, Rusmin
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2014-03-06T15:46:35Z
2014-03-06T15:46:35Z
2013
2013
http://hdl.handle.net/1721.1/85501
871003259
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 61-62).
We demonstrated the possibility of inferring the research interest of an MIT faculty member given the title of only a few research papers written by him or her, using a topic model learned from a corpus of research paper text not necessarily related to any faculty members of MIT, and a list of topic keywords such as that of the Library of Congress. The topic model was generated using a variant of Latent Dirichlet Allocation coupled with a pointwise mutual information analysis between topic keywords and latent topics.
by Rusmin Soetjipto.
M.Eng.
62 pages
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.
Automatic detection of research interest using topic modeling
Name disambiguation in MIT collaboration browser
Thesis
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