| dc.contributor.author | Noursalehi, Peyman | |
| dc.contributor.author | Koutsopoulos, Haris N | |
| dc.contributor.author | Zhao, Jinhua | |
| dc.date.accessioned | 2022-02-07T17:35:35Z | |
| dc.date.available | 2022-02-07T17:35:35Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/140204 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | 10.1109/OJITS.2020.3038395 | en_US |
| dc.rights | Creative Commons Attribution 4.0 International license | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | IEEE | en_US |
| dc.title | Machine-Learning-Augmented Analysis of Textual Data: Application in Transit Disruption Management | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Noursalehi, Peyman, Koutsopoulos, Haris N and Zhao, Jinhua. 2020. "Machine-Learning-Augmented Analysis of Textual Data: Application in Transit Disruption Management." IEEE Open Journal of Intelligent Transportation Systems, 1. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Urban Studies and Planning | |
| dc.relation.journal | IEEE Open Journal of Intelligent Transportation Systems | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2022-02-07T16:48:00Z | |
| dspace.orderedauthors | Noursalehi, P; Koutsopoulos, HN; Zhao, J | en_US |
| dspace.date.submission | 2022-02-07T16:48:01Z | |
| mit.journal.volume | 1 | en_US |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
