Automatic detection of research interest using topic modeling
Name
871003259-MIT.pdf
Description
Full printable version
Size
2.43 MB
Format
Adobe PDF
Checksum (MD5)
01398af52cff05127cb9010ffb4c125e
Author(s)
Soetjipto, Rusmin
Advisor(s)
Regina Barzilay.
Alternative Title
Name disambiguation in MIT collaboration browser
Date Issued
2013
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
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).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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.
Persistent DSpace Link
