Natural Language Processing to Extract Data from Human-Written Text | Cannabis Data Science #56
Parsing natural language can be complex, but can yield valuable data. We use the SpaCy Python package to parse human-entered labels to unlock never-before-crunched data that we then readily analyze with the best-known statistical models. Find the data and source code: https://github.com/cannlytics/cannabis-data-science Join us at the next meetup: https://meetup.com/cannabis-data-science
