Abstract

Abstract: From last few decades there is widespread usage of social network platforms such as twitter or other microblogging systems which contains huge amount of timely generated data. Tweeteris fastest means of information sharing where user shares event/news which takeplace in front of them. Thus Tweeter act as news portal where news reaches tothe people within fraction of seconds. Extracting valuable information intimely manner is important because this wealthy information is useful forcompanies, government agencies and health organizations. Topic detection is thenew research area in data mining and knowledge discovery where extractinguseful and valuable information from timely generated online streams is the newchallenge. In this article we survey the different algorithms used for trendingtopic and event detection using social media data and propose new system fornews event detection from social media data.

Keywords– Twitter;Topic Detection; Term Aging; Term Co-occurrences; PageRank; Burstiness