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Author

Negar Shabanpour

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Open access Sep 2026

Fine-Grained Analysis of Bilingual Transportation Discourse on Reddit Using Large Language Models: A Quebec City Case Study

Social media platforms generate large volumes of unsolicited textual content that reflect users’ perceptions of urban transportation. This study proposes a fine-grained annotation framework that classifies social media text into three constructs: attitude, intention, and reported behavior. Each statement is linked to a...

Negar Shabanpour, Stéphane Roche, S. Mellouli · 0 citations
Review Open access Aug 2026

Unveiling Individual Climate Behaviors Through Digital Text: A Scoping Review of Natural Language Processing Methods

NLP-based text analysis constitutes a scalable complement to surveys and a foundation for targeted climate interventions, and topic modeling and transformer-based models are the dominant techniques, typically combined with sentiment analysis.

Negar Shabanpour, S. Mellouli, Stéphane Roche · 1 citation

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