Entity Linking within a Social Media Platform: A Case Study on Yelp
Hongliang Dai, Yangqiu Song, Liwei Qiu, Rijia Liu · 2018
In this paper, we study a new entity linking problem where both the entity mentions and the target entities are within a same social media platform.Compared with traditional entity linking problems that link mentions to a knowledge base, this new problem have less information about the target entities.However, if we can successfully link mentions to entities within a social media platform, we can improve a lot of applications such as comparative study in business intelligence and opinion leader finding.To study this problem, we constructed a dataset called Yelp-EL, where the business mentions in Yelp reviews are linked to their corresponding businesses on the platform.We conducted comprehensive experiments and analysis on this dataset with a learning to rank model that takes different types of features as input, as well as a few state-of-theart entity linking approaches.Our experimental results show that two types of features that are not available in traditional entity linking: social features and location features, can be very helpful for this task.