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Publication Type : Journal Article
Publisher : International Journal of Applied Engineering Research
Source : International Journal of Applied Engineering Research, Research India Publications, Volume 10, Number 13, p.33859-33862 (2015)
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Year : 2015
Abstract : Identifying incidents of threat to public life from news articles can be used in various applications like traffic management, disaster management etc. In this paper we are identifying threat to public life by processing RSS feed of news articles and we investigate the tradeoff between speed Vs accuracy of predicting the severity of the incidents which is treat to public life. It can also be used to collect information on geographical locations where threat has occurred. We have proposed a NLP-based approach that would help identify features of the data that are salient for classifying it as road incident like accident or bomb blast etc and its severity. © Research India Publications.
Cite this Research Publication : Prathilothamai M., M. Devii, M., and Viswanathan, V., “Identification of threat to public life by classifying NEWS RSS feeds”, International Journal of Applied Engineering Research, vol. 10, pp. 33859-33862, 2015.