natural language processing

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Natural Language Processing (NLP) Barely Skimming The Surface Mike Long — TW SF Home Office Day

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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.

TRANSCRIPT

Page 1: Natural Language Processing

Natural Language Processing(NLP)

Barely Skimming The SurfaceMike Long — TW SF Home Office Day

Page 2: Natural Language Processing

Agenda

• Ridiculously brief introduction 10 minutes• Tech Demo 10 minutes• Usage contexts of NLP in the wild 30

minutes• NLP future 10 minutes

Page 3: Natural Language Processing

Exploring language models

flickr.com/harvardmuseumofnaturalhistory

Page 4: Natural Language Processing

Knowledge discovery

flickr.com/mcgervey

Page 5: Natural Language Processing

The Processing Pipeline

Raw > Tokenized > Normalized > Vocabulary

Page 6: Natural Language Processing

Listen for, and make note of:

PlacesActionsToolsFeelingsDesires

Page 7: Natural Language Processing