Real-Time Event Detection System in Twitter Social Network
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICEEE07_247
تاریخ نمایه سازی: 19 اردیبهشت 1395
Abstract:
The increasing expansion of social networks and the user’s exploitation of these networks for data exchange and sharing sources. Has been created a suitable environment for identifying events. Twitter is a very common social network in which millions of users can release different news and express their idea about different aspects of events. We present in this paper a real-time event detection system in Twitter social network. The design of this system is a modular design which increases the speed of system’s processing. System specifies the type and place of important events by studying Twitter streams and analyzing different parameters. This system has numerous applications including in news agencies for detecting new events and in marketing for discovering target market. The results of experiments and different comparisons indicate that this method has higher accuracy and efficiency than other methods.
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Authors
Fatemeh Torshizi nezhad
Department of Software Engineering, Young Researchers and Elite Club, Mashhad Branch, Islamic Azad University, Mashhad, Iran
Hamid Akbari
Department of Software Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran
Mohammad Hossein Moattar
Department of Software Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran
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