Emotion recognition

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Automatic

Signal processing Speech processing Bayesian networks Mixture models Hidden Markov Models

39 related topics

Overview

Emotion Modalities Recognition of facial expressions Physiology Lexicon

26 related topics

Subfields

Text Conversations Extract emotions from audio Subtitles Social platforms

7 related topics

Human

Alexithymic

1 related topics

Topics to explore

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Overview

Emotion
Modalities Modality (human–computer interaction)
Recognition of facial expressions Facial expression recognition
Physiology
Lexicon
Semantic
Syntactic
Emotion classification
WordNet
ConceptNet
Dictionary
Synonyms Synonym
Antonyms Antonym
Corpus Corpus linguistics
Machine learning
Support Vector Machines (SVM) Support vector machines
Naive Bayes Naive bayes classifier
Maximum Entropy Maximum entropy classifier
Deep learning
Artificial Neural Network (ANN) Artificial neural network
Convolutional Neural Network (CNN) Convolutional neural network
Long Short-term Memory (LSTM) Long short-term memory
Extreme Learning Machine (ELM) Extreme learning machine
Computer vision
Speech recognition
Natural Language Processing (NLP) Natural language processing

Human

Alexithymic Alexithymia

Automatic

Signal processing
Speech processing
Bayesian networks Bayesian network
Mixture models Mixture model
Hidden Markov Models Hidden Markov model
Deep neural networks
Facial expressions
Gestures Gesture recognition
Emotive Internet
Virtual agent Intelligent agent
Electroencephalography
Electrocardiography
Valence Valence (psychology)
Arousal
Dominance Dominance (psychology)?action=edit&redlink=1
Multimodal Multimodal interaction
Sentiment analysis
Multimodal sentiment analysis
Dialogue systems Dialogue system
Emotion recognition in conversations Emotion recognition in conversation
SSVEP
Biometrics
Affectiva
MIT
Artificial intelligence
Social media
Amazon Rekognition
Affect Affect (psychology)
Wayback Machine
Snapchat

Subfields

Text Text (literary theory)
Conversations Conversation
Extract emotions from audio Emotional speech recognition
Subtitles
Social platforms Social network
Facebook
Twitter

Advanced semantic analysis

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Map overview Semantic statistics

Nodes78

Edges77

Triples113

Avg. degree1.97

Density0.025641

Components1

How this topic connects Entity context

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Emotion recognition

Top relations

related to Datasets · 18

Emotion recognition → BED, Corpus, Data, ECG, EEG, EEG-based, For, HUMAINE, It, MELD, MuSe, Natural Language Processing, NLP, SSVEP, TV, UIT-VSMEC, Vietnamese, Vietnamese Social Media Emotion

has application · 11

Emotion recognition → Academic, Affectiva, Amazon Rekognition, Emotion, For, However, MIT, Note, Other, Researchers, Several

related to Human · 10

Emotion recognition → Alex, Another, For, However, Humans, If, In, One, Suppose, This

related to Automatic · 6

Emotion recognition → Bayesian, Decades, Different, Gaussian Mixture, Hidden Markov Models, There

related to Emotion recognition in conversation · 5

Emotion recognition → Emotion, ERC, Facebook, Twitter, YouTube

related to Emotion recognition in audio · 4

Emotion recognition → Different, Instead, This, Unlike

related to Emotion recognition in text · 4

Emotion recognition → Compare, Emotions, For, Text

related to Approaches · 3

Emotion recognition → Different, Internet, The

is a · 2

Emotion recognition → process of identifying human emotion, relatively nascent research area

related to Subfields · 1

Emotion recognition → Emotion

Important terminology Word statistics

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Important terminology

emotion recognition text emotions people approaches video audio knowledge-based learning different data expressions techniques methods machine research facial words statistical

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
Emotion recognition	is a	process of identifying human emotion	0.90	text
Emotion recognition	is a	relatively nascent research area	0.90	text
Bayesian networks.	instance of	Different methodologies and techniques may be employed to interpret emotion	0.80	text
Gaussian Mixture models	instance of	Different methodologies and techniques may be employed to interpret emotion	0.80	text
Hidden Markov Models	instance of	Different methodologies and techniques may be employed to interpret emotion	0.80	text
deep neural networks.ApproachesThe accuracy of emotion recognition is usually improved when it combines the analysis of human expressions from multimodal forms such as texts	instance of	Different methodologies and techniques may be employed to interpret emotion	0.80	text
physiology	instance of	Different methodologies and techniques may be employed to interpret emotion	0.80	text
audio	instance of	Different methodologies and techniques may be employed to interpret emotion	0.80	text
or video	instance of	Different methodologies and techniques may be employed to interpret emotion	0.80	text
WordNet	instance of	it is common to use knowledge-based resources during the emotion classification process	0.80	text
SenticNet	instance of	it is common to use knowledge-based resources during the emotion classification process	0.80	text
ConceptNet	instance of	it is common to use knowledge-based resources during the emotion classification process	0.80	text

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Automatic

Overview

Subfields

Human

Key facts & relationships

Topics to explore

Overview

Human

Automatic

Subfields

Advanced semantic analysis

Map overview Semantic statistics

Emotion recognition

How this topic connects Entity context

Emotion recognition

Top relations

Important terminology Word statistics

Important terminology

Entity relationships Subject–Predicate–Object triples

Related concept clusters Concept neighborhoods

Connections between topic areas Semantic bridges