141 / 2015-10-25 16:49:44
Emergent News Event Detection From Twitter using Clustering
twitter,Topic Detection,term aging,2563
Draft Rejected
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.
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