Web: http://arxiv.org/abs/2201.10986

Jan. 27, 2022, 2:10 a.m. | Federico Bianchi, Vincenzo Cutrona, Dirk Hovy

cs.CL updates on arXiv.org arxiv.org

Twitter data have become essential to Natural Language Processing (NLP) and
social science research, driving various scientific discoveries in recent
years. However, the textual data alone are often not enough to conduct studies:
especially social scientists need more variables to perform their analysis and
control for various factors. How we augment this information, such as users'
location, age, or tweet sentiment, has ramifications for anonymity and
reproducibility, and requires dedicated effort. This paper describes
Twitter-Demographer, a simple, flow-based tool to …

arxiv data tool twitter

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