FLATM: A Fuzzy Logic Approach Topic Model for Medical Documents
| dc.contributor.author | Karami, Amir | |
| dc.contributor.author | Gangopadhyay, Aryya | |
| dc.contributor.author | Zhou, Bin | |
| dc.contributor.author | Kharrazi, Hadi | |
| dc.date.accessioned | 2021-08-13T18:59:23Z | |
| dc.date.available | 2021-08-13T18:59:23Z | |
| dc.date.issued | 2015-10-01 | |
| dc.description | 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC) | |
| dc.description.abstract | One of the challenges for text analysis in medical domains is analyzing large-scale medical documents. As a consequence, finding relevant documents has become more difficult. One of the popular methods to retrieve information based on discovering the themes in the documents is topic modeling. The themes in the documents help to retrieve documents on the same topic with and without a query. In this paper, we present a novel approach to topic modeling using fuzzy clustering. To evaluate our model, we experiment with two text datasets of medical documents. The evaluation metrics carried out through document classification and document modeling show that our model produces better performance than LDA, indicating that fuzzy set theory can improve the performance of topic models in medical domains. | en_US |
| dc.description.uri | https://ieeexplore.ieee.org/document/7284190 | en_US |
| dc.format.extent | 8 pages | en_US |
| dc.genre | conference papers and proceedings | en_US |
| dc.genre | preprints | |
| dc.identifier | doi:10.13016/m2v3nt-fbjm | |
| dc.identifier.citation | Karami, Amir et al.; FLATM: A fuzzy logic approach topic model for medical documents; 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 1 October, 2015; https://doi.org/10.1109/NAFIPS-WConSC.2015.7284190 | |
| dc.identifier.uri | http://hdl.handle.net/11603/22431 | |
| dc.identifier.uri | https://doi.org/10.1109/NAFIPS-WConSC.2015.7284190 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE | |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Information Systems Department Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | en_US |
| dc.rights | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
| dc.title | FLATM: A Fuzzy Logic Approach Topic Model for Medical Documents | en_US |
| dc.type | Text | en_US |
| dcterms.creator | https://orcid.org/0000-0003-1936-7497 | en_US |