A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
A review of affective computing: From unimodal analysis to multimodal fusion
Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
Icon: Interactive conversational memory network for multimodal emotion detection
Emotion recognition in conversations is crucial for building empathetic machines. Present
works in this domain do not explicitly consider the inter-personal influences that thrive in the …
works in this domain do not explicitly consider the inter-personal influences that thrive in the …
[HTML][HTML] Conversational memory network for emotion recognition in dyadic dialogue videos
Emotion recognition in conversations is crucial for the development of empathetic machines.
Present methods mostly ignore the role of inter-speaker dependency relations while …
Present methods mostly ignore the role of inter-speaker dependency relations while …
Hybrid context enriched deep learning model for fine-grained sentiment analysis in textual and visual semiotic modality social data
Detecting sentiments in natural language is tricky even for humans, making its automated
detection more complicated. This research proffers a hybrid deep learning model for fine …
detection more complicated. This research proffers a hybrid deep learning model for fine …
Multimodal sentimental analysis for social media applications: A comprehensive review
G Chandrasekaran, TN Nguyen… - … Reviews: Data Mining …, 2021 - Wiley Online Library
The analysis of sentiments is essential in identifying and classifying opinions regarding a
source material that is, a product or service. The analysis of these sentiments finds a variety …
source material that is, a product or service. The analysis of these sentiments finds a variety …
EmoCaps: Emotion capsule based model for conversational emotion recognition
Emotion recognition in conversation (ERC) aims to analyze the speaker's state and identify
their emotion in the conversation. Recent works in ERC focus on context modeling but …
their emotion in the conversation. Recent works in ERC focus on context modeling but …
A survey of affect recognition methods: audio, visual and spontaneous expressions
Automated analysis of human affective behavior has attracted increasing attention from
researchers in psychology, computer science, linguistics, neuroscience, and related …
researchers in psychology, computer science, linguistics, neuroscience, and related …
Multimodal human–computer interaction: A survey
In this paper, we review the major approaches to multimodal human–computer interaction,
giving an overview of the field from a computer vision perspective. In particular, we focus on …
giving an overview of the field from a computer vision perspective. In particular, we focus on …
Multimodal research in vision and language: A review of current and emerging trends
Deep Learning and its applications have cascaded impactful research and development
with a diverse range of modalities present in the real-world data. More recently, this has …
with a diverse range of modalities present in the real-world data. More recently, this has …