Papers by Daniel Rieman
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions (D18-1)
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Salvatore Giorgi, Daniel Preoţiuc-Pietro, Anneke Buffone, Daniel Rieman, Lyle Ungar, H. Andrew Schwartz
| Challenge: | Social media data is often aggregated without regard to users in the Twitter populations of each community. |
| Approach: | They propose to use Twitter language to build community-level models using Twitter language aggregated by users. |
| Outcome: | The proposed method improves on four county-level tasks spanning demographic, health, and psychological outcomes over the standard approach of aggregating all tweets. |