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 …

Abstract With proliferation of Big Data, organizational decision making has also become
more complex. Business Intelligence (BI) is no longer restricted to querying about marketing …

In the current era of internet, information related to crime is scattered across many sources
namely news media, social networks, blogs, and video repositories, etc. Crime reports …

Recent attempts to detect fake news have relied on the implementation of machine or deep
learning models that have been trained on text. These models, on the other hand, are …

The communities that we live in affect our health in ways that are complex and hard to
define. Moreover, our understanding of the place-based processes affecting health and …

The automatic categorization of crime news is useful to create statistics on the type of crimes
occurring in a certain area. This assignment can be treated as a text categorization problem …

Several studies have shown that the use of embeddings improves outcomes in many
Natural Language Processing (NLP) activities, including text categorization. This paper …

Crime Information Extraction is a task to extract some entities in the crime domain. Previous
researchers have studied this task using rules to extract some crime entities in the English …

Crimes have affected the quality of life and economic growth of the country badly. The
authors can identify the crime patterns and predict the crimes by detecting and analyzing the …

These days, a lot of crime-related events take place all over the world. Most of them are
reported in news portals and social media. Crime-related event extraction from the …