Statements (54)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:technology
|
| gptkbp:alsoKnownAs |
affective computing
|
| gptkbp:analyzes |
human emotions
|
| gptkbp:appliesTo |
gptkb:customer_service
healthcare marketing human resources |
| gptkbp:challenge |
privacy concerns
data security ethical issues accuracy bias |
| gptkbp:dataSource |
gptkb:DVD
gptkb:text voice biometric data |
| gptkbp:detects |
fear
happiness anger surprise disgust sadness |
| gptkbp:emergedIn |
early 2010s
|
| gptkbp:enables |
employee well-being analysis
improved customer engagement mental health monitoring personalized experiences |
| gptkbp:goal |
analyze emotions
detect emotions measure emotions predict emotions |
| gptkbp:notableCompany |
gptkb:Emotient
gptkb:Affectiva gptkb:Beyond_Verbal gptkb:Realeyes gptkb:nViso |
| gptkbp:notableContributor |
gptkb:Rosalind_Picard
gptkb:Rana_el_Kaliouby gptkb:Daniel_McDuff |
| gptkbp:regulates |
gptkb:CCPA
gptkb:GDPR |
| gptkbp:relatedTo |
emotion recognition
affective computing sentiment analysis behavioral analytics |
| gptkbp:uses |
gptkb:artificial_intelligence
gptkb:machine_learning natural language processing facial recognition text analysis voice analysis |
| gptkbp:bfsParent |
gptkb:Beyond_Verbal
|
| gptkbp:bfsLayer |
5
|
| https://www.w3.org/2000/01/rdf-schema#label |
Emotions Analytics
|