  Publicly available social media archives facilitate research in a variety of
fields, such as data science, sociology or the digital humanities, where
Twitter has emerged as one of the most prominent sources. However, obtaining,
archiving and annotating large amounts of tweets is costly. In this paper, we
describe TweetsKB, a publicly available corpus of currently more than 1.5
billion tweets, spanning almost 5 years (Jan'13-Nov'17). Metadata information
about the tweets as well as extracted entities, hashtags, user mentions and
sentiment information are exposed using established RDF/S vocabularies. Next to
a description of the extraction and annotation process, we present use cases to
illustrate scenarios for entity-centric information exploration, data
integration and knowledge discovery facilitated by TweetsKB.
