MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model

MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model

Transit riders' feedback provided in ridership surveys, customer relationship management (CRM) channels, and in more recent times, through social media is key for transit agencies to better gauge the efficacy of their services and initiatives. Getting a holistic understanding of riders' ex...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Leong, Michael, Abdelhalim, Awad, Ha, Jude, Patterson, Diane, Pincus, Gabriel L, Harris, Anthony B, Eichler, Michael, Zhao, Jinhua
Kolejni autorzy: Massachusetts Institute of Technology. Department of Urban Studies and Planning
Format: Artykuł
Język:English
Wydane: SAGE Publications 2024
Dostęp online:https://hdl.handle.net/1721.1/156437

Internet

https://hdl.handle.net/1721.1/156437

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