A case study of using natural language processing to extract consumer insights from tweets in American cities for public health crises
Description
CONCLUSIONS: This study ultimately demonstrates that our method used here could efficiently reduce a large amount of community feedback (e.g., tweets, social media data) by NLP and ensure contextualization and richness with human interpretation
