DBTB INT Dmitri Gusev r
summary
Introduces a small implementation of a developer community graph (devreal.ai) that links talks, interviews, people and institutions and shows how that graph surfaces connections useful for civic data work. Describes using natural language processing to extract topics from messy captions and combining those outputs with visualization techniques to make local issues discoverable. Advises learning by building varied pipelines end to end and iterating on messy real data.
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