arXiv · 1804.05499
Community Member Retrieval on Social Media using Textual Information
Abstract
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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Aaron Jaech, Shobhit Hathi, Mari Ostendorf. 2018-04-16. Community Member Retrieval on Social Media using Textual Information. https://arxiv.org/abs/1804.05499
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