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                    "published": "2017-07-19",
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                    "online": "2017-07-19"
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                    "volume": "02",
                    "issue": "04",
                    "pages": {
                        "first": "59",
                        "last": "64"
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                "abstract": {
                    "value": "Now days, social networking is additional standard. For instance, twitter, Face book etc. Social networking is employedfor event detection in real time. Real time events are traffic detection, earthquake observance. During this paper, we tend to use the twitter for real time traffic event detection. Firstly, the system extracts the tweets from twitter and applies the textmining techniques on it tweets. Those techniques square measure tokenization, stop-word removing, is stemming. At the moment classify that on the idea of sophistication label i.e. traffic event or no traffic event. During this paper, we present an internet technique for detection of real-traffic events in Twitter information.",
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                        "unstructured": "F. Atefeh and W. Khreich, ―A survey of techniques for event detection in Twitter,‖ Compute. In tell. vol. 31, no. 1, pp. 132–164, 2015"
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                        "unstructured": "T. Sakaki, Y. Matsuo, T. Yanagihara, N. P. C handrasiri, and K. Nawa, ―Real-time event ex traction for driving information from social sensors,‖ in Proc. IEEE Int. Conf. CYBER, Bangkok, Thailand, 2012, pp. 221–226"
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                    {
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