Statements (52)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:technology
Natural Language Processing Task |
| gptkbp:application |
gptkb:insurance
Education entertainment Chatbots Market Research Social Media Monitoring |
| gptkbp:assesses |
gptkb:Recall
Precision Accuracy F1 Score |
| gptkbp:challenge |
Ambiguity in Language
Cultural Differences Multimodal Data Fusion Sarcasm Detection |
| gptkbp:commonEmotionsDetected |
gptkb:Fear
gptkb:Sadness Surprise Happiness Anger Disgust |
| gptkbp:format |
Continuous
Categorical Dimensional |
| https://www.w3.org/2000/01/rdf-schema#label |
Emotion Detection
|
| gptkbp:input |
gptkb:public_speaker
gptkb:text Facial Expressions Physiological Signals |
| gptkbp:language |
English
Multilingual |
| gptkbp:method |
gptkb:Machine_Learning
Deep Learning Rule-Based Systems Lexicon-Based Approaches |
| gptkbp:output |
Emotion Label
Emotion Probability |
| gptkbp:relatedTo |
gptkb:Affective_Computing
gptkb:Text_Classification Emotion Recognition |
| gptkbp:trainer |
gptkb:SemEval
EmoBank Emotion-Stimulus GoEmotions ISEAR |
| gptkbp:usedIn |
gptkb:Human-Computer_Interaction
Sentiment Analysis Customer Service Mental Health Monitoring |
| gptkbp:bfsParent |
gptkb:Visual_Recognition
|
| gptkbp:bfsLayer |
7
|