Crime rate detection using social media of different crime locations and Twitter part-of-speech tagger with Brown clustering

Author:

Vo Thanh1,Sharma Rohit2,Kumar Raghvendra3,Son Le Hoang4,Pham Binh Thai5,Tien Bui Dieu67,Priyadarshini Ishaani8,Sarkar Manash9,Le Tuong10

Affiliation:

1. Institute of Research and Development, Duy Tan University, Da Nang, Vietnam

2. Department of Electronics & Communication Engineering, SRM IST, NCR Campus, India

3. Department of Computer Science and Engineering, GIET University, Gunupur, India

4. VNU Information Technology Institute, Vietnam National University, Hanoi, Vietnam

5. Geotechnical Engineering and Artificial Intelligence research group (GEOAI), University of Transport Technology, Hanoi, Vietnam

6. Geographic Information Science Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam

7. Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam

8. University of Delaware, Newark, DE, USA

9. School of Computer Science& Engineering, Vellore Institute of Technology, Vellore, India

10. Faculty of Information Technology, Ho Chi Minh City University of Technology (HUTECH), Ho Chi Minh City, Vietnam

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference13 articles.

1. Race recognition using deep convolutional neural networks;Vo;Symmetry,2018

2. Predicting crime using Twitter and kernel density estimation;Gerber;Decision Support Systems,2014

3. The utility of hotspot mapping for predicting spatial patterns of crime,;Chainey;Security Journal,2008

4. Towards detecting compromised accounts on social networks;Egele;IEEE Transactions on Dependable and Secure Computing,2017

5. Self-exciting point process modeling of crime,;Mohler;Journal of the American Statistical Association,2011

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