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Summarization Approach From Microblog During Disaster Events

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Pooja B. Kawade, N. N.Pise, P. V. Kulkarni
10.5120/ijca2017915621

Pooja B Kawade, N N.Pise and P V Kulkarni. Summarization Approach From Microblog During Disaster Events. International Journal of Computer Applications 176(8):15-19, October 2017. BibTeX

@article{10.5120/ijca2017915621,
	author = {Pooja B. Kawade and N. N.Pise and P. V. Kulkarni},
	title = {Summarization Approach From Microblog During Disaster Events},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2017},
	volume = {176},
	number = {8},
	month = {Oct},
	year = {2017},
	issn = {0975-8887},
	pages = {15-19},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume176/number8/28574-2017915621},
	doi = {10.5120/ijca2017915621},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

During bulk convergence events such as natural disasters, microblogging platforms like Twitter are broadly used by affected people to post situational awareness messages. As soon as natural disaster events happen, users are willing to know more about them. Twitter is a great source that can be exploited for obtaining such fine-grained arranged information for fresh natural disaster events. These crisis-related messages disperse among multiple categories like infrastructure damage, information about bomb blast, missing, injured, and dead people etc. The challenge here is to create summary from disaster related tweets and filter the short spam url containing tweets.

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Keywords

Disaster events, Twitter, situational information, classification, summarization.