Tmap: Traffic Detection using Tweet Analysis
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 3
Abstract
The increasing population and rapid growth in Urbanization is giving birth to traffic problems, resulting in pollution that affects the overall social health. This system performs real-time monitoring by Twitter stream analysis for traffic event. The system fetches tweets from Twitter as per several search criteria, processes these tweets by text mining and finally classifies these tweets as related to traffic events. This system uses Natural Language Processing for analysing tweets from Twitter stream and Support Vector Machine as classification model. The system is capable of detecting traffic events in real-time and notify it to people, often before broadcasting media.
Authors and Affiliations
Mr. Pujari Aditya, Mr. Taware Ashish, Mr. Lakade Pankaj, Mr. Wagh Mahesh, Prof. Nale R. K
Keywords
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- EP ID EP23593
- DOI http://doi.org/10.22214/ijraset.2017.3133
- Views 319
- Downloads 8
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