Community Member Retrieval on Social Media using Textual Information

NAACL 2018  ·  Aaron Jaech, Shobhit Hathi, Mari Ostendorf ·

This paper addresses the problem of community membership detection using only text features in a scenario where a small number of positive labeled examples defines the community. The solution introduces an unsupervised proxy task for learning user embeddings: user re-identification. Experiments with 16 different communities show that the resulting embeddings are more effective for community membership identification than common unsupervised representations.

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