Sporting events attract high volumes of people, which in turn leads to increased use of social
media. In addition, research shows that sporting events may trigger violent behavior that can …

This article outlines a novel data descriptor that provides the Arabic natural language
processing community with a dataset dedicated to named entity recognition tasks for …

In these days, security of citizens is considered one of the major concerns of any
government in the world. In every country, there is a huge amount of unstructured texts …

The article discusses the possibilities of solving NER (Named Entity Recognition) problem
for medical texts in Arabic with limited availability of labeled datasets, as well as …

In this paper we forecast hotspots of street crime in Portland, Oregon. Our approach uses
geosocial media posts, which define the predictors in geographically weighted regression …

This chapter is not about a specific Arabic corpus, nor about the use of a corpus in an Arabic
linguistics research project. I work in the School of Computing within the Faculty of …

Twitter is a popular form of social media that helps to spread breaking news. Mining textual
documents and the number of posts (" tweets") can assist in predicting the popularity of news …