用于实时流量检测的Twitter流分析

Rucha Kulkarni, Sayali Dhanawade, S. Raut
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引用次数: 4

摘要

如今,社交网络更受欢迎。例如,twitter,Facebook等社交网络被用来防止实时检测。实时事件是交通检测,地震监测。在本文中,我们使用twitter进行实时交通事件检测。首先,系统从推特中提取推文,并对推文进行文本挖掘技术。这些技术是标记化,停止词删除,词干提取。然后根据类别标签对其进行分类,即流量事件或无流量事件。在本文中,我们提出了一种在线检测Twitter数据中实时流量事件的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Twitter Stream Analysis for Traffic Detection in Real Time
Now a days,social networking are more popular.for example,twitter,Facebook etc.social networking are used forevent detection in real time.Real time events are traffic detection,earthquake monitoring.In this paper,we use the the twitter for real time traffic event detection.Firstly,the system extract the tweets from twitter and apply the text mining techniques on that tweets.those techniques are tokenization, stop-word removing,stemming.after that classify that on the basis of class label i.e traffic event or no traffic event.In this paper, we present an online method for detection of real-traffic events in Twitter data.
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