Machine-Learning-Augmented Analysis of Textual Data: Application in Transit Disruption Management
Main Authors: | , , |
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Other Authors: | |
Format: | Article |
Language: | English |
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Institute of Electrical and Electronics Engineers (IEEE)
2022
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Online Access: | https://hdl.handle.net/1721.1/140204 |
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author | Noursalehi, Peyman Koutsopoulos, Haris N Zhao, Jinhua |
author2 | Massachusetts Institute of Technology. Department of Urban Studies and Planning |
author_facet | Massachusetts Institute of Technology. Department of Urban Studies and Planning Noursalehi, Peyman Koutsopoulos, Haris N Zhao, Jinhua |
author_sort | Noursalehi, Peyman |
collection | MIT |
first_indexed | 2024-09-23T08:53:43Z |
format | Article |
id | mit-1721.1/140204 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T08:53:43Z |
publishDate | 2022 |
publisher | Institute of Electrical and Electronics Engineers (IEEE) |
record_format | dspace |
spelling | mit-1721.1/1402042023-01-30T16:33:19Z Machine-Learning-Augmented Analysis of Textual Data: Application in Transit Disruption Management Noursalehi, Peyman Koutsopoulos, Haris N Zhao, Jinhua Massachusetts Institute of Technology. Department of Urban Studies and Planning 2022-02-07T17:35:35Z 2022-02-07T17:35:35Z 2020 2022-02-07T16:48:00Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/140204 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. en 10.1109/OJITS.2020.3038395 IEEE Open Journal of Intelligent Transportation Systems Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) IEEE |
spellingShingle | Noursalehi, Peyman Koutsopoulos, Haris N Zhao, Jinhua Machine-Learning-Augmented Analysis of Textual Data: Application in Transit Disruption Management |
title | Machine-Learning-Augmented Analysis of Textual Data: Application in Transit Disruption Management |
title_full | Machine-Learning-Augmented Analysis of Textual Data: Application in Transit Disruption Management |
title_fullStr | Machine-Learning-Augmented Analysis of Textual Data: Application in Transit Disruption Management |
title_full_unstemmed | Machine-Learning-Augmented Analysis of Textual Data: Application in Transit Disruption Management |
title_short | Machine-Learning-Augmented Analysis of Textual Data: Application in Transit Disruption Management |
title_sort | machine learning augmented analysis of textual data application in transit disruption management |
url | https://hdl.handle.net/1721.1/140204 |
work_keys_str_mv | AT noursalehipeyman machinelearningaugmentedanalysisoftextualdataapplicationintransitdisruptionmanagement AT koutsopoulosharisn machinelearningaugmentedanalysisoftextualdataapplicationintransitdisruptionmanagement AT zhaojinhua machinelearningaugmentedanalysisoftextualdataapplicationintransitdisruptionmanagement |