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Found 4 papers, 0 papers with code
ReportAGE: Automatically extracting the exact age of Twitter users based on self-reports in tweets
The objective of this study was to develop and evaluate a method that automatically identifies the exact age of users based on self-reports in their tweets.
Towards Automatic Bot Detection in Twitter for Health-related Tasks
Our approach obtains F_1 scores of 0. 7 for the "bot" class, representing improvements of 0. 339.
Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outcomes
Despite the prevalence of adverse pregnancy outcomes such as miscarriage, stillbirth, birth defects, and preterm birth, their causes are largely unknown.
Automatically Detecting Self-Reported Birth Defect Outcomes on Twitter for Large-scale Epidemiological Research
The primary objective of this study was to take the first step towards scaling the use of social media for observing pregnancies with birth defect outcomes, namely, developing methods for automatically detecting tweets by users reporting their birth defect outcomes.
