Chen, F., & Krishnan, R. (2013). Transportation Sentiment Analysis for Safety Enhancement. Technologies for Safe and Efficient Transportation. University Transportation Center. https://rosap.ntl.bts.gov/view/dot/37119
Chen, Feng and Ramayya Krishnan. Transportation Sentiment Analysis for Safety Enhancement. Technologies for Safe and Efficient Transportation. University Transportation Center, 2013. https://rosap.ntl.bts.gov/view/dot/37119.
Chen, Feng, and Ramayya Krishnan Transportation Sentiment Analysis for Safety Enhancement. Technologies for Safe and Efficient Transportation. University Transportation Center, 2013, ROSA P. https://rosap.ntl.bts.gov/view/dot/37119.
The goal of this project is to develop an online intelligent system that automatically monitors and collects timely and comprehensive information from social media (e.g., blogs, online forums, and twitter) about the current status of the transportation network and traffic flow to support advanced safety enhancement. Our proposed approach is composed of five major components: 1) Public Safety Data Extraction 2) Heterogeneous Safety Data Modeling 3) Transportation Safety Topics: Discovery 4) Bias Estimation Using Traditional Traffic Sensor Data 5) User Interface and High Level Applications
Chen, F., & Krishnan, R. (2013). Transportation Sentiment Analysis for Safety Enhancement. Technologies for Safe and Efficient Transportation. University Transportation Center. https://rosap.ntl.bts.gov/view/dot/37119
Chen, Feng and Ramayya Krishnan. Transportation Sentiment Analysis for Safety Enhancement. Technologies for Safe and Efficient Transportation. University Transportation Center, 2013. https://rosap.ntl.bts.gov/view/dot/37119.
Chen, Feng, and Ramayya Krishnan Transportation Sentiment Analysis for Safety Enhancement. Technologies for Safe and Efficient Transportation. University Transportation Center, 2013, ROSA P. https://rosap.ntl.bts.gov/view/dot/37119.
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