Mashaal Musleh

Learn More
This paper presents <i>Taghreed</i>; a full-fledged system for efficient and scalable querying, analyzing, and visualizing geotagged microblogs, e.g., tweets. <i>Taghreed</i> supports arbitrary queries on a large number (Billions) of microblogs that go up to several months in the past. <i>Taghreed</i> consists of four main components: (f) Indexer, (2) query(More)
In the last few years, Twitter data has become so popular that it is used in a rich set of new applications, e.g., real-time event detection, demographic analysis, and news extraction. As user-generated data, the plethora of Twitter data motivates several analysis tasks that make use of activeness of 271+ Million Twitter users. This demonstration presents(More)
This paper demonstrates Taghreed; a full-fledged system for efficient and scalable querying, analyzing, and visualizing geotagged microblogs, such as tweets. Taghreed supports a wide variety of queries on all microblogs attributes. In addition, it is able to manage a large number (billions) of microblogs for relatively long periods, e.g., months. Taghreed(More)
Twitter is one of the most popular social networks where people use to tweet about their opinions, feelings, desires, ...etc. One of the most important and consistent behaviors of Twitter users is posting a plethora of tweets about events of different types, e.g., Oscars celebration, soccer games, and natural disasters. For such kind of event-specific(More)
Social media services are the top-growing online communities in the last few years. Among those, Twitter becomes the de facto of microblogging services with millions of tweets posted everyday. In this paper, we present an analytical study for localized language usage and diversity in Twitter data using a half billion geotagged tweets. We first identify(More)
Twitter is one of the top-growing online communities in the last years. In this poster, we study the language usage and diversity in Twitter local communities. We identify local communities in Twitter on a country-level. For each community, we examine: (1) the language diversity, (2) the language dominance and how it differs from local to global views, (3)(More)
Motivated by the wide popularity of microblog services (e.g., Twitter and Facebook) along with the sheer sizes of microblogs issued every second, this article introduces Taqreer as a scalable and efficient system for auto-generation of spatio-temporal analysis reports on microblogs. Taqreer is composed of two main modules: The Taghreed query engine, which(More)
In the last few years, Twitter data has become so popular that it is used in a rich set of new applications, e.g., real-time event detection, demographic analysis, and news extraction. As user-generated data, the plethora of Twitter data motivates several analysis tasks that make use of activeness of 255+ Million Twitter users. This demonstration presents(More)
  • 1