STEP #2 - NATURAL LANGUAGE UNDERSTANDING
Watson-Call-Center-Think18 Lab
CCIA Lab 8672 Demo March18 Part2

Call Center Instrumentation & Analytics (CCIA)
This document provides guidance and background for a hands-on Python + IBM Watson lab being presented at an IBM Think2018 conference in March 2018, and for an IPython / Jupyter notebook and python code available for open source after the event.

CODE:
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DOCS:
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This document provides guidance and background for a hands-on Python + IBM Watson lab being presented at an IBM Think2018 conference in March 2018, and for an IPython / Jupyter notebook and python code available for open source after the event.

SERVICE
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NLU - Natural Language Understanding
- Uncover insights from structured and unstructured data
-Analyze text to extract meta-data from content such as concepts, entities, keywords, categories, relations and semantic roles.
- Understand sentiment and emotion
-Returns both overall sentiment and emotion for a document, and targeted sentiment and emotion towards keywords in the text for deeper analysis.


YOUTUBE VIDEOS
1A) Think2018 Lab 8672 Demo - Watson Studio + CCIA Analytics - STEP-1.A STT
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1B) Think2018 Lab 8672 Demo - Watson Studio + CCIA Analytics - STEP-1.B STT
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2) Think2018 Lab 8672 Demo - Watson Studio + CCIA Analytics - Step 2 NLU
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3) Think2018 Lab 8672 Demo - Watson Studio + CCIA Analytics - Step 3 NLC
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4) Think2018 Lab 8672 Demo - Watson Studio + CCIA Analytics – Step 4 TONE
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