Natural Language Processing Illustrated with Python
summary
An introduction to Natural Language Processing concepts paired with Python libraries (no specific libraries named) that explains what NLP is and how to use it. Concrete examples include keyword search in text without simple find, combining NLP with machine learning for Named Entity Recognition, and building a suggestion engine using a neural network.
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chapters (9)
- 0:00Introduction
- 1:54What is Natural Language Processing?
- 8:10Tool Selection
- 13:30NLP Tasks at the Document Level
- 19:27Reducing to a Classification Problem
- 25:26Retrieving Vectors
- 27:28Vectors Carrying Meaning
- 29:17Clustering and Suggestion Engine
- 31:45Resources to Deepen the Subject
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