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: Join us at the next meetup:

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