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Июль 22–23

PyCon Russia 2018

Рус Eng

Ling Zhang,

NLP to Discover Rich Insights from Massive Noisy Text

In this talk, I present a case study of how we extracted rich, actionable insights from a large noisy corpus of unstructured survey responses for a government entity. We reduce time to analysis from months to minutes. We use scikit-learn and NLTK to explore techniques such as clustering, natural language understanding, and summarization, and go over both practical methods and the underlying theory.