Performing Sentiment Analysis Using Natural Language Models for Urban Policymaking: An analysis of Twitter Data in Brussels

Onderzoeksoutput: Article › peer review

Originele taal-2	English
Aantal pagina's	14
Tijdschrift	Data Science for Transportation
Volume	6
Nummer van het tijdschrift	5
DOI's	https://doi.org/10.1007/s42421-024-00090-5
Status	Published - 11 apr 2024

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@article{3bc249509e6f4958bb42fbfe6edf1d1d,

title = "Performing Sentiment Analysis Using Natural Language Models for Urban Policymaking: An analysis of Twitter Data in Brussels",

author = "Floriano Tori and Sara Tori and Imre Keseru and Vincent Ginis",

year = "2024",

month = apr,

day = "11",

doi = "10.1007/s42421-024-00090-5",

language = "English",

volume = "6",

journal = "Data Science for Transportation",

issn = "2948-135X",

number = "5",

}

TY - JOUR

T1 - Performing Sentiment Analysis Using Natural Language Models for Urban Policymaking: An analysis of Twitter Data in Brussels

AU - Tori, Floriano

AU - Tori, Sara

AU - Keseru, Imre

AU - Ginis, Vincent

PY - 2024/4/11

Y1 - 2024/4/11

UR - https://doi.org/10.1007/s42421-024-00090-5

U2 - 10.1007/s42421-024-00090-5

DO - 10.1007/s42421-024-00090-5

M3 - Article

VL - 6

JO - Data Science for Transportation

JF - Data Science for Transportation

SN - 2948-135X

IS - 5

ER -