• Bhakti Anand Kulkarni
• Neeta Dimble

A public safety event is that which needs to be detected early as it is danger for area at which it is occurred. It needs fast response and quick recovery. When event is occurred, its correct information is necessary to be collected quickly to provide the response. Now a day’s most of the places are checked with the surveillance cameras. But they need continuous attention and it may not be possible. So the social media users who are present at occurred event can play important role to provide data related to a public safety event. Twitter is one of the best social platforms these days. Twitter can provide real time data of particular public safety event. System investigates the real-time data of events. Various algorithms are proposed to investigate tweets and detect a target event. Keywords in a tweet and their contexts are used to detect event related information. Huge data stored on twitter. To get this data for study purpose there are different techniques. Twitter data will be useful for public safety events. Subsequently, various classification, machine learning techniques and natural language process techniques (NLP) will be applied. In this paper, using twitter data how spatial and temporal distance will be found is discussed. Different techniques for data extractions are discussed. How performance will be measured by different parameters is discussed in this paper.

event detection, social media, Twitter data, spatial and temporal distance

"Event Detection Techniques and Performance Analysis using Twitter Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.499-503, June 2019, Available :http://www.jetir.org/papers/JETIR1906P72.pdf

"Event Detection Techniques and Performance Analysis using Twitter Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp499-503, June 2019, Available at : http://www.jetir.org/papers/JETIR1906P72.pdf