141 / 2015-10-25 16:49:44
Emergent News Event Detection From Twitter using Clustering
twitter,Topic Detection,term aging,2563
全文被拒
jasmin jamadar / Imperial College of Engineering Wagholi Pune
rajesh phursule / Imperial College of Engineering Wagholi Pune
from the last few decades, there is widespread usage of social network platforms such as twitter or other micro blogging systems which contains a huge amount of timely generated data. Twitter is the fastest means of information sharing where user shares, event/news which take place in front of them. Thus, Twitter act as news portal where news reaches to the people within fraction of seconds. Extracting valuable information in a timely manner is important because this valuable information is useful for companies, government agencies and health organizations. Topic detection is the new research area in data mining and knowledge discovery where extracting useful and valuable information from timely generated online streams is the new challenge. In this article we survey the different algorithms used for trending topic and event detection using social media data and propose a new system for emergent news event detection from social media data.
重要日期
  • 会议日期

    03月23日

    2016

    03月25日

    2016

  • 11月30日 2015

    提前注册日期

  • 12月30日 2015

    初稿截稿日期

  • 01月30日 2016

    初稿录用通知日期

  • 02月05日 2016

    终稿截稿日期

  • 03月25日 2016

    注册截止日期

主办单位
IEEE Madras Section
SSN College of Engineering - SSN Trust
联系方式
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询