Male, Age 42, Happy
Chris Hewitt, Wild Mouse
ARC312
HAPPINESS
76
0
50
100
Sentiment Analysis
This presentation is very interesting.
The Text Analytics API's pre trained
model makes sentiment analysis easy.
Key Phrase Detection
This presentation is very interesting.
The Text Analytics API's pre trained
model makes sentiment analysis easy.

Text Classification Template
DIY
Requires training

Speech API

Speaker Recognition
Pre Trained Model: Detect change, ‘light’ authentication
Language Understanding (LUIS)
Add to your
own apps

Speech Analytics
Feature
Extraction
{x1, x2, x3…xn}
Audio
Segmentation
Classification


Facial landmark positions
DNN?
Facial Action Coding System (FACS)
Ekman’s Universal Emotions
Sadness
Happiness
Surprise
Disgust
Fear
Anger
Contempt

ANGER
0
CONTEMPT
21
DISGUST
0
FEAR
0
HAPPINESS
76
NEUTRAL
2
SADNESS
0
SURPRISE
0
0
Face Detection
Emotion API
20
40
60
80
100
Emotions

Other Services
Feature
Extraction
{𝑥1, 𝑥2, 𝑥3 … 𝑥𝑛}
FACS
Encoding
Classification

Ability to detect lies in video
80-85%
60%
Population
Truth Wizards
Can eventually automate using
Facial Expressions/Transitions
Micro-Expressions…’tells’ (a few, sometimes)
Voice/Language Analysis
Not 100%, less accurate on short observations
Some people are “Lie Wizards”
Neural Nets
Can work on problems that are hard to featurise
Trained nets can be used to provide features for other models
Were old hat…now shiny again because:
Moore’s law
We have enough data to feed them
Advances in technology
Lots of different kinds of NN
Appropriate for different problems
One Hidden Layer
Simple Convolution
Convolution +
Pooling
defines
Finally
Cortana Analytics Suite provides tools
That allow you to leverage and combine many complex technologies
You provide the imagination
Go for it
My Ignite
Continue your Ignite learning path
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