Utilizing Social Media Data for Estimating Transit Performance Metrics
Camille Kamga,
Richard Kish,
Sandeep Mudigonda
et al.
Abstract:In this paper, a methodology using text and sentiment analysis of social media data is proposed to determine performance metrics that customers frequently mentioned when riding the New York Transit system and how they compare to those reported by the transit agency. This method is carried out by analyzing Twitter data collected from users mentioning their transit experience and recognizing trends regarding sentiment. The results show that customers mostly express negative over positive experiences about their … Show more
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