GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information
Table 1: Accuracy of the toponym extraction approach at different granularity levels
['[BOLD] Tweet field', '[BOLD] Country', '[BOLD] State', '[BOLD] County', '[BOLD] City']
We see that the lower the granularity (i.e., higher administrative level), the better the accuracy scores. At the country level, for both user location and tweet content fields, the accuracy scores are plausible at 0.86 for user location and 0.75 for tweet content. At the state level, the user location field seems to yield better results than the tweet content. However, for both county and city levels, the accuracy scores are low.