Deceptive Trait Statements: 2
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Description

Vocal Analysis

Detected Statement ID: 1

Statement 1
Person ID 0
Person Name Name Not Determined
Words Stated 10
Words not Understood 0
Sentiment Detected Positive
Sentiment Polarity 0.43
Sentiment Subjectivity 0.8
Sarcasm Scoring -1
Vocal Emotion of Speaker None
Determined Emotion Analysing Accuracy 0

Detected Statement ID: 2

Statement 2
Person ID 0
Person Name Ursula von der Leyen
Words Stated 4
Words not Understood 0
Sentiment Detected Neutral
Sentiment Polarity 0
Sentiment Subjectivity 0
Sarcasm Scoring 1
Vocal Emotion of Speaker None
Determined Emotion Analysing Accuracy 0

Detected Statement ID: 3

Statement 3
Person ID 0
Person Name Name Not Determined
Words Stated 16
Words not Understood 0
Sentiment Detected Negative
Sentiment Polarity -0.35
Sentiment Subjectivity 0.33
Sarcasm Scoring 32
Vocal Emotion of Speaker None
Determined Emotion Analysing Accuracy 0

Detected Statement ID: 4

Statement 4
Person ID 0
Person Name Name Not Determined
Words Stated 7
Words not Understood 0
Sentiment Detected Neutral
Sentiment Polarity 0.04
Sentiment Subjectivity 0.24
Sarcasm Scoring 29
Vocal Emotion of Speaker None
Determined Emotion Analysing Accuracy 0

Detected Statement ID: 5

Statement 5
Person ID 0
Person Name Name Not Determined
Words Stated 17
Words not Understood 0
Sentiment Detected Neutral
Sentiment Polarity 0
Sentiment Subjectivity 0
Sarcasm Scoring 4
Vocal Emotion of Speaker None
Determined Emotion Analysing Accuracy 0

Detected Statement ID: 6

Statement 6
Person ID 0
Person Name Name Not Determined
Words Stated 5
Words not Understood 0
Sentiment Detected Positive
Sentiment Polarity 0.6
Sentiment Subjectivity 0.9
Sarcasm Scoring 21
Vocal Emotion of Speaker None
Determined Emotion Analysing Accuracy 0

Detected Statement ID: 7

Statement 7
Person ID 0
Person Name Name Not Determined
Words Stated 17
Words not Understood 0
Sentiment Detected Neutral
Sentiment Polarity 0.08
Sentiment Subjectivity 0.27
Sarcasm Scoring 15
Vocal Emotion of Speaker None
Determined Emotion Analysing Accuracy 0

Detected Statement ID: 8

Statement 8
Person ID 0
Words Stated 6
Words not Understood 0
Sentiment Detected Neutral
Sentiment Polarity 0.08
Sentiment Subjectivity 0.17
Sarcasm Scoring 17
Vocal Emotion of Speaker None
Determined Emotion Analysing Accuracy 0

Detected Statement ID: 9

Statement 9
Person ID 0
Words Stated 10
Words not Understood 0
Sentiment Detected Neutral
Sentiment Polarity 0.14
Sentiment Subjectivity 0.45
Sarcasm Scoring 15
Vocal Emotion of Speaker None
Determined Emotion Analysing Accuracy 0

Detected Statement ID: 10

Statement 10
Person ID 0
Words Stated 2
Words not Understood 0
Sentiment Detected Neutral
Sentiment Polarity 0
Sentiment Subjectivity 0
Sarcasm Scoring 14
Vocal Emotion of Speaker None
Determined Emotion Analysing Accuracy 0

Detected Statement ID: 11

Statement 11
Person ID 0
Words Stated 8
Words not Understood 0
Sentiment Detected Neutral
Sentiment Polarity 0
Sentiment Subjectivity 0
Sarcasm Scoring 4
Vocal Emotion of Speaker None
Determined Emotion Analysing Accuracy 0

Detected Statement ID: 12

Statement 12
Person ID 0
Words Stated 17
Words not Understood 0
Sentiment Detected Neutral
Sentiment Polarity 0.07
Sentiment Subjectivity 0.23
Sarcasm Scoring -10
Vocal Emotion of Speaker None
Determined Emotion Analysing Accuracy 0

Detected Statement ID: 13

Statement 13
Person ID 0
Words Stated 19
Words not Understood 0
Sentiment Detected Neutral
Sentiment Polarity -0.08
Sentiment Subjectivity 0.64
Sarcasm Scoring -1
Vocal Emotion of Speaker None
Determined Emotion Analysing Accuracy 0

Deceptive Trait Analysis

AI Determined

Person averaged

Person ID 0
Blinks 1.0562681379999309e-07
Blinks Per Second 10.566762728146013
E.A.R 0.27307675357596595
L.A.R 0.11954070364997874
Lips Pursing 440
Cheek Colour (R, G, B) 170, 118, 113

1. Detected:

Person ID 0
Person NameMatt Shakman
Deception Analysis
Time Stamp00:00:41:640
Period Detected00:00:41:640
Blinks Detected 440
Blinks Per Second 10.566762728146013
Number of Blushes Recognised 1
Number of Lip Pursing Recognised 440
Predicted Deception
Sentence

Note It's possible that there has been a failure in translating a word, or that the word has been incorrectly represented. Please note that the AI system does not make a definitive determination on these words; it is simply providing helpful understanding through post-processing.
nutrition would surely the most powerful ai systems are bill in the u. s. the american designed in you fractured ships and let me be in bad about this one america wants to partner with all due we want to mark on the air revolution before us with the spirit of openness been collaboration create that kind of process we need international regulatory regime is that fosters the creation of a high technology rather it's finals when you're european finds in particular look at this new frontier with optimism rather than trepidation
Age and Gender Analysis
Person 0 Age Range 36-40
Gender of Speaker Female
Crossed-Arm Detection

Person ID 0 without Crossed-Arm

2. Detected:

Person ID 0
Person NameJoel Houston
Deception Analysis
Time Stamp00:01:10:799
Period Detected00:00:29:160
Blinks Detected 199
Blinks Per Second 6.824417009602196
Number of Blushes Recognised 0
Number of Lip Pursing Recognised 199
Predicted Deception
Sentence

Note It's possible that there has been a failure in translating a word, or that the word has been incorrectly represented. Please note that the AI system does not make a definitive determination on these words; it is simply providing helpful understanding through post-processing.
this bruise one u. s. tech companies with international footprints any of our most productive tech companies are forced to deal with the use digital services that
Age and Gender Analysis
Person 0 Age Range 36-40
Gender of Speaker Male
Crossed-Arm Detection

Person ID 0 without Crossed-Arm

3. Detected:

Person ID 0
Person NameName Not Determined
Deception Analysis
Time Stamp00:01:11:879
Period Detected00:00:42:719
Blinks Detected 27
Blinks Per Second 0.6320224719101124
Number of Blushes Recognised 0
Number of Lip Pursing Recognised 27
Predicted Truth
Age and Gender Analysis
Person 0 Age Range 51-55
Gender of Speaker Male
Crossed-Arm Detection

Person ID 0 without Crossed-Arm