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Semantic Annotation for Microblog Topics Using Wikipedia Temporal Information
[article]
2017
arXiv
pre-print
Trending topics in microblogs such as Twitter are valuable resources to understand social aspects of real-world events. To enable deep analyses of such trends, semantic annotation is an effective approach; yet the problem of annotating microblog trending topics is largely unexplored by the research community. In this work, we tackle the problem of mapping trending Twitter topics to entities from Wikipedia. We propose a novel model that complements traditional text-based approaches by rewarding
arXiv:1701.03939v1
fatcat:zvt5qyepijav5e2yil3uv4rwxa