From Twitter to traffic predictor: Next-day morning traffic prediction using social media data-Reference-Cited by-同舟云学术

From Twitter to traffic predictor: Next-day morning traffic prediction using social media data

Published:2021-03 Issue: Volume:124 Page:102938
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Yao Weiran,Qian Sean

Funder

U.S. Department of Transportation

National Science Foundation

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference74 articles.

1. Agarwal, A., Xie, B., Vovsha, I., Rambow, O., Passonneau, R.J., 2011. Sentiment analysis of twitter data. In: Proceedings of the Workshop on Language in Social Media (LSM 2011), pp. 30–38.

2. Fast algorithms for mining association rules;Agarwal,1994

3. Fuzzy ontology-based sentiment analysis of transportation and city feature reviews for safe traveling;Ali;Transport. Res. Part C: Emerg. Technol.,2017

4. Bakshi, R.K., Kaur, N., Kaur, R., Kaur, G., 2016. Opinion mining and sentiment analysis. In: 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom), IEEE. pp. 452–455.

5. Model-based gaussian and non-gaussian clustering;Banfield;Biometrics,1993

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