Uncovering dynamic textual topics that explain crime
Crime analysis/mapping techniques have been developed and applied for crime detection and prevention to predict where and when crime occurs, leveraging historical crime records over a spatial area and covariates for the spatial domain. Some of these techniques may provide insights for understanding...
Enregistré dans:
Auteur principal: | Seppo Virtanen |
---|---|
Format: | article |
Langue: | EN |
Publié: |
The Royal Society
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/326deb10c5ea4b6c99c11fb5c0ceb0f4 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Latent semantic understanding of geographical environment spatio-temporal data based on topic model
par: ZHU Jie, et autres
Publié: (2021) -
Dynamic Analysis of User-Role and Topic-Influence for Topic Propagation in Social Networks
par: Jing Wang, et autres
Publié: (2021) -
Method of Syntactic Analysis of Chinese Sentences on Topical Components
par: K. E. Kotcik
Publié: (2018) -
Topic-Based Document-Level Sentiment Analysis Using Contextual Cues
par: Ciprian-Octavian Truică, et autres
Publié: (2021) -
Global crime
Publié: (2004)