Language technologies for social media
Wajdi Zaghouani · 2017
We are witnessing an increased interest from stakeholders to collect and analyze in real time the large-volume of information from social media streams using all kinds of applications ranging from information extraction tools to social media analytics and decision support systems.Social media text is generally noisy, short and linguistically rich as witnessed by the high-frequency rate of code-switching and colloquial expressions used.In this paper, I present an overview of the language technologies within the context of social media, and will discuss the data collection and annotation of social media content.Afterwards, several text processing tools and techniques used before building social media applications will be presented.Finally, some social media applications and their evaluation benchmarks are explored.