Natural Language Processing

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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

  1. 1. Natural Language Processing (NLP) Barely Skimming The Surface Mike Long — TW SF Home Office Day
  2. 2. Agenda <ul><li>Ridiculously brief introduction 10 minutes </li></ul><ul><li>Tech Demo 10 minutes </li></ul><ul><li>Usage contexts of NLP in the wild 30 minutes </li></ul><ul><li>NLP future 10 minutes </li></ul>
  3. 3. Exploring language models flickr.com/harvardmuseumofnaturalhistory
  4. 4. Knowledge discovery flickr.com/mcgervey
  5. 5. The Processing Pipeline Raw > Tokenized > Normalized > Vocabulary
  6. 6. Listen for, and make note of: <ul><li>Places </li></ul><ul><li>Actions </li></ul><ul><li>Tools </li></ul><ul><li>Feelings </li></ul><ul><li>Desires </li></ul>

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