Feature engineering plays a vital role in big data analytics. Machine learning and data
mining algorithms cannot work without data. Little can be achieved if there are few features …

Stemming is an important task in natural language processing that involves reducing a word
to its root form, or stem. In many cases, stemming can significantly improve the accuracy and …

This chapter presents an analysis of feature engineering for Twitter-based applications. It
discusses how Twitter data can be downloaded from the Twitter Application Programming …

Geolocating Twitter users—the task of identifying their home locations—serves a wide range
of community and business applications such as managing natural crises, journalism, and …

Arabic is a large used language across world, but the lack of linguistics tools and
resource?(abstract)? make it still under-resourced language which influences on …

We present a methodology for creating a lexicon for a low-resource Arabic dialect in Saudi
Arabia: Hijazi. We show the differences between the Hijazi dialect and Modern Standard …

We analyze fifteen Twitter user geolocation models and two baselines comparing how they
are evaluated. Our results demonstrate that the choice of effectiveness metric can have a …

The rise of digital technologies has led to the emergence of new ways in which physical
spaces are perceived, experienced, and mapped. The availability of high-quality satellite …

Social media is one of the first places people share information about serious topics, such as
a crisis event. Stakeholders, including the agencies of crisis response, seek to understand …

We investigated the credibility perception of tweet readers from the USA and by readers from
eight Arabic countries; our aim was to understand if credibility was affected by country and/or …