Abstract
In today’s world, security is the most prominent aspect which has been given higher priority. Despite the rapid growth and usage of digital devices, lucrative measurement of crimes in under-developing countries is still challenging. In this work, unstructural crime data (900 records) from the news archives of the previous eight years were extracted to predict the behavior of criminals’ networks and transform it into useful information using natural language processing (NLP). To estimate the next move of criminals in Pakistan, we performed hotspot-based spatial analysis. Later, this information is fed to two different classifiers for possible identification and prediction. We achieved the maximum accuracy of 92% using K-Nearest Neighbor (KNN) and 62% using the Random Forest algorithm. In terms of crimes, the results showed that the most prevalent crime events are robberies. Thus, the usage of digital information archives, spatial analysis, and machine learning techniques can open new ways of handling a peaceful and sustainable society in eradicating crimes for countries having paucity of financial resources.
Highlights
Crimes are the most common social issues nowadays, affecting the economic growth, quality of life, and economy of any country
We identified the relationship between crime features using the average nearest neighbor using the spatial dataset of crime that we extracted from the news archives
Data mining tools helped in managing the data in an understandable format which led to meaningful information for answering crime patterns and their relationships
Summary
Crimes are the most common social issues nowadays, affecting the economic growth, quality of life, and economy of any country. Crimes affect the reputation of a country on an international scale and affect the economy of the country by placing a financial burden on the government in hiring additional police forces. Internet-based news resources, such as online newspapers and news channel archives, have been tremendously increased in number, volume, and coverage, and they contain useful as well as authentic data [3]. The data of the archives are not so arranged and categorized, so it can be quite challenging to extract useful information about specific or interesting crime events [4,5,6]. News archives provide a valuable source of information. It contains rich and purposeful content which is recorded carefully by specialists and it portrays some principal aspects related to the specific article [7].
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