IMPLEMENTATION OF FUZZY BASED TRAFFIC SENTIMENT ANALYSIS

Mr A. Vijay Karthik

Abstract


Intelligence Traffic System (ITS) is an emerging application that can solve the main traffic issues such as traffic injuries and fatalities. Monitoring the traffic in real-time is the best way to ensure the public traffic safety. Traffic sentiment Analysis is the method concerns about the issues of traffic in the particular transportation systems based on the information collected from social media. This can enable to collect the comprehensive information about the current status of public traffic and safety. The proposed system can automatically retrieve the information from Facebook, Twitter or other blogs, and then they extract the potential safety topics like accidents or traffic-jam. Finally, it can classify the output based on Neuro-Fuzzy logic. The final result of the proposed model has ensured the better classification compared to the existing method.

Keywords


Traffic Sentiment Analysis, Web mining, Intelligence Transport System, Fuzzy logic.

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DOI: https://doi.org/10.26483/ijarcs.v8i9.5164

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