| dc.contributor.advisor | Thieu, Thanh | |
| dc.contributor.author | Patel, Krishna | |
| dc.contributor.author | Le, Tuan-Dung | |
| dc.contributor.author | Duong, Thanh | |
| dc.contributor.other | Southwestern Oklahoma State University | |
| dc.date.accessioned | 2021-07-27T16:49:23Z | |
| dc.date.available | 2021-07-27T16:49:23Z | |
| dc.date.issued | 2021-07-28 | |
| dc.identifier | oksd_USRE_2021_patel | |
| dc.identifier.citation | Patel, K., Le, T.-D., Duong, T., & Thieu, T. (2021, July 28). Using natural language processing to identify COVID-19 spread factors from the literature to assist with mitigation of future outbreaks. Poster presented at the Oklahoma State University Undergraduate Summer Research Expo, Stillwater, OK. | |
| dc.identifier.uri | https://hdl.handle.net/11244/330160 | |
| dc.description | This research, presented at the Oklahoma State University Undergraduate Summer Student Research Expo, is the work of a visiting author from Southwestern Oklahoma State University. | |
| dc.description.sponsorship | Research Experiences for Undergraduates in Computer Science | |
| dc.format | application/pdf | |
| dc.language | en_US | |
| dc.publisher | Oklahoma State University | |
| dc.rights | In the Oklahoma State University Library's institutional repository this material is made available through the open access principles and the terms of agreement/consent between the author(s) and the publisher. The permission policy on the use, reproduction or distribution of the article falls under fair use for educational, scholarship, and research purposes. Contact Digital Resources and Discovery Services at lib-dls@okstate.edu or 405-744-9161 for further information. | |
| dc.title | Using natural language processing to identify COVID-19 spread factors from the literature to assist with mitigation of future outbreaks | |
| osu.filename | oksd_USRE_2021_patel.pdf | |
| dc.description.department | Computer Science | |
| dc.type.genre | Poster | |
| dc.type.material | Text | |
| dc.subject.keywords | computer science | |
| dc.subject.keywords | covid-19 | |
| dc.subject.keywords | natural language processing | |
