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Published in:

Volume 3 Issue 5
May-2016
eISSN: 2349-5162

Unique Identifier

JETIR1605003

Page Number

14-18

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Title

A Proposed System for Real Time Detection of Traffic from twitter using NB Classifier

ISSN

2349-5162

Cite This Article

"A Proposed System for Real Time Detection of Traffic from twitter using NB Classifier ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 5, page no.14-18, May-2016, Available :http://www.jetir.org/papers/JETIR1605003.pdf

Abstract

Social networks have been recently employed as a source of information for event detection its real-time nature. Twitter has received much attention recently as the investigation of real time events such earthquakes, traffic congestion, street rallies is the need of the existing busy life of the users. In this paper, a real-time monitoring system for traffic event detection is proposed. The system fetches tweets from Twitter according to several search criteria; processes tweets, by applying text mining techniques; and finally performs the classification of tweets. The aim is to assign the appropriate class label to each tweet, as related to a traffic event or not. After the traffic event is detected, further classification is performed to decide the class of the traffic tweet. In other words, the status of the traffic in terms of heavy traffic, medium traffic, road jams areanalyzed from the traffic tweet.

Key Words

Location estimation, Traffic congestion, Tweet classification, Text mining, Twitter, Naïve Bayes Classifier, Real-time event detection.

Cite This Article

"A Proposed System for Real Time Detection of Traffic from twitter using NB Classifier ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 5, page no. pp14-18, May-2016, Available at : http://www.jetir.org/papers/JETIR1605003.pdf

Publication Details

Published Paper ID: JETIR1605003
Registration ID: 160145
Published In: Volume 3 | Issue 5 | Year May-2016
DOI (Digital Object Identifier):
Page No: 14-18
ISSN Number: 2349-5162

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Cite This Article

"A Proposed System for Real Time Detection of Traffic from twitter using NB Classifier ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 5, page no. pp14-18, May-2016, Available at : http://www.jetir.org/papers/JETIR1605003.pdf




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