Crime rate detection using social media of different crime locations and Twitter part-of-speech tagger with Brown clustering.
Minh Thanh VoRohit SharmaRaghvendra KumarLe Hoang SonBinh Thai PhamDieu Tien BuiIshaani PriyadarshiniManash SarkarTuong LePublished in: J. Intell. Fuzzy Syst. (2020)
Keyphrases
- social media
- law enforcement
- clustering method
- clustering algorithm
- criminal networks
- anomaly detection
- k means
- social media data
- crime analysis
- social networking
- social media platforms
- cluster analysis
- macro level
- false alarms
- data clustering
- detection algorithm
- social networks
- crime investigation
- real world events
- social media streams
- emerging topics
- crime data
- data mining and visualization
- public safety
- information diffusion
- unsupervised learning
- detection method
- user generated content
- online social networks
- big data
- hierarchical clustering
- spectral clustering
- detection rate
- data points
- data mining techniques
- self organizing maps
- modus operandi
- online social media
- criminal activities
- movement patterns
- social media sites
- digital forensics
- topic detection
- social networking sites