Data Mining of Social Media for Traffic Monitoring |
Author(s): |
| Alefiya Naseem , Trinity College of Engineering & Research; Priyanka Kamble, Trinity College of Engineering & Research; Shaikh Kamran, Trinity College of Engineering & Research; Shaikh Musaib, Trinity College of Engineering & Research; Prof. S.B.Chaudhari, Trinity College of Engineering & Research |
Keywords: |
| Data Science, Traffic Analysis, Social Media Data, Sentiment Analysis, Statistical Models, Dashboard, Visualization, Real-Time |
Abstract |
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Traffic in metropolitan cities is a matter of increasing concern these days. In this paper, we propose a method to address the following issue. We use social media data like Tweets and Facebook posts to obtain data related to traffic and use the techniques of data mining and sentiment analysis to create an interactive real-time Dashboard to monitor traffic in the metropolitan cities of India. |
Other Details |
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Paper ID: IJSRDV3I80299 Published in: Volume : 3, Issue : 8 Publication Date: 01/11/2015 Page(s): 543-545 |
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