Location reference recognition from texts: A survey and comparison
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …
Artificial intelligence & crime prediction: A systematic literature review
The security of a community is its topmost priority; hence, governments must take proper
actions to reduce the crime rate. Consequently, the application of artificial intelligence (AI) in …
actions to reduce the crime rate. Consequently, the application of artificial intelligence (AI) in …
Predicting types of occupational accidents at construction sites in Korea using random forest model
K Kang, H Ryu - Safety Science, 2019 - Elsevier
Although industrial accident rates are gradually decreasing in Korea, the construction
industry's accident rate is still higher compared with other industries. Human errors, mentally …
industry's accident rate is still higher compared with other industries. Human errors, mentally …
Machine learning in crime prediction
K Jenga, C Catal, G Kar - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Predicting crimes before they occur can save lives and losses of property. With the help of
machine learning, many researchers have studied predicting crimes extensively. In this …
machine learning, many researchers have studied predicting crimes extensively. In this …
A hybrid approach of machine learning and lexicons to sentiment analysis: enhanced insights from twitter data of natural disasters
The success factor of sentimental analysis lies in identifying the most occurring and relevant
opinions among users relating to the particular topic. In this paper, we develop a framework …
opinions among users relating to the particular topic. In this paper, we develop a framework …
GazPNE2: A general place name extractor for microblogs fusing gazetteers and pretrained transformer models
The concept of “human as sensors” defines a new sensing model, in which humans act as
sensors by contributing their observations, perceptions, and sensations. This is crucial for …
sensors by contributing their observations, perceptions, and sensations. This is crucial for …
Information fusion in crime event analysis: A decade survey on data, features and models
Crime event analysis (CEA) has become increasingly important in assisting humans in
preventing future crimes. A fundamental challenge in the research community lies in the …
preventing future crimes. A fundamental challenge in the research community lies in the …
A clustering based hotspot identification approach for crime prediction
With the emergence in the field of crime prediction, researchers found that crime shows
geographical patterns. These patterns can be useful to predict crime before it happens and …
geographical patterns. These patterns can be useful to predict crime before it happens and …
[HTML][HTML] How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?
Natural language texts, such as tweets and news, contain a vast amount of geospatial
information, which can be extracted by first recognizing toponyms in texts (toponym …
information, which can be extracted by first recognizing toponyms in texts (toponym …
Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction
Crime events are known to reveal spatio-temporal patterns, which can be used for predictive
modeling and subsequent decision support. While the focus has hitherto been placed on …
modeling and subsequent decision support. While the focus has hitherto been placed on …