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NLP is important for scientific, economic, and cultural reasons. It is experiencing rapid growth as its theories and methods are deployed in a variety of new language technologies. It is important for a wide range of people to have a working knowledge of NLP. Within industry, this includes people in HCI, business information analysis, and website development.
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Natural Language Processing(NLP)
Barely Skimming The SurfaceMike Long — TW SF Home Office Day
Agenda
• Ridiculously brief introduction 10 minutes• Tech Demo 10 minutes• Usage contexts of NLP in the wild 30
minutes• NLP future 10 minutes
Exploring language models
flickr.com/harvardmuseumofnaturalhistory
Knowledge discovery
flickr.com/mcgervey
The Processing Pipeline
Raw > Tokenized > Normalized > Vocabulary
Listen for, and make note of:
PlacesActionsToolsFeelingsDesires
