Automatic detection of research interest using topic modeling
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2014
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| Online Access: | http://hdl.handle.net/1721.1/85501 |
| _version_ | 1811095084314132480 |
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| author | Soetjipto, Rusmin |
| author2 | Regina Barzilay. |
| author_facet | Regina Barzilay. Soetjipto, Rusmin |
| author_sort | Soetjipto, Rusmin |
| collection | MIT |
| description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013. |
| first_indexed | 2024-09-23T16:10:23Z |
| format | Thesis |
| id | mit-1721.1/85501 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T16:10:23Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/855012019-04-10T15:42:31Z Automatic detection of research interest using topic modeling Name disambiguation in MIT collaboration browser Soetjipto, Rusmin Regina Barzilay. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. 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. 2014-03-06T15:46:35Z 2014-03-06T15:46:35Z 2013 2013 Thesis http://hdl.handle.net/1721.1/85501 871003259 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 62 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Soetjipto, Rusmin Automatic detection of research interest using topic modeling |
| title | Automatic detection of research interest using topic modeling |
| title_full | Automatic detection of research interest using topic modeling |
| title_fullStr | Automatic detection of research interest using topic modeling |
| title_full_unstemmed | Automatic detection of research interest using topic modeling |
| title_short | Automatic detection of research interest using topic modeling |
| title_sort | automatic detection of research interest using topic modeling |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/85501 |
| work_keys_str_mv | AT soetjiptorusmin automaticdetectionofresearchinterestusingtopicmodeling AT soetjiptorusmin namedisambiguationinmitcollaborationbrowser |