id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_q3vxtoihvngpta2hacggcrspfe	Rhea Mahajan	Correlating Crime and Social Media: Using Semantic Sentiment Analysis	2021	8	.pdf	application/pdf	4853	501	62	Correlating Crime and Social Media: Using Semantic Sentiment Analysis feed forward neural network to the tweets to determine the crime forward neural network to the tweets to determine the crime area of crime Prediction using data from social networking of integrating Twitter data for crime prediction is to take into geographic analysis methods to model crime risk using tweets important works done in area of crime Prediction using tweets. LISTS SOME OF THE IMPORTANT WORKS DONE IN AREA OF CRIME PREDICTION USING TWEETS Crime related and Geo-tagged real-time tweets were collected Input: Sentiment140( Ttrain), Real-time Crime Related Geo-tagged tweets between predicted crime pattern (Fig. 7) from tweets and actual Crime Pattern Predicted from Tweets from 2 Dec 2019 to 22 Dec between Crime pattern predicted from Tweets and the actual correlation between crime pattern predicted from Tweets and correlation between crime pattern predicted from Tweets and correlation between crime pattern predicted from Tweets and 	./cache/work_q3vxtoihvngpta2hacggcrspfe.pdf	./txt/work_q3vxtoihvngpta2hacggcrspfe.txt