Semantic Annotation for Microblog Topics Using Wikipedia Temporal Information [article]

Tuan Tran, Nam Khanh Tran, Teka Hadgu Asmelash, Robert Jäschke
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
more » ... ntities that exhibit a high temporal correlation with topics during their burst time period. By exploiting temporal information from the Wikipedia edit history and page view logs, we have improved the annotation performance by 17-28\%, as compared to the competitive baselines.
arXiv:1701.03939v1 fatcat:zvt5qyepijav5e2yil3uv4rwxa