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The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions
2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Nowcasting based on social media text promises to provide unobtrusive and near real-time predictions of community-level outcomes. These outcomes are typically regarding people, but the data is often aggregated without regard to users in the Twitter populations of each community. This paper describes a simple yet effective method for building community-level models using Twitter language aggregated by user. Results on four different U.S. county-level tasks, spanning demographic, health, and
doi:10.18653/v1/d18-1148
dblp:conf/emnlp/GiorgiPBRUS18
fatcat:5nlvcvwa3va4zhwvuqgqrcngym