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A survey of textual emotion recognition and its challenges
Textual language is the most natural carrier of human emotion. In natural language
processing, textual emotion recognition (TER) has become an important topic due to its …
processing, textual emotion recognition (TER) has become an important topic due to its …
A comprehensive survey on affective computing; challenges, trends, applications, and future directions
Affective computing, as its name implies, focuses on the recognition of human emotions,
sentiments, and feelings. This interdisciplinary field encompasses diverse areas such as …
sentiments, and feelings. This interdisciplinary field encompasses diverse areas such as …
Evolutionary ensemble learning for EEG-based cross-subject emotion recognition
Electroencephalogram (EEG) has been widely utilized in emotion recognition due to its high
temporal resolution and reliability. However, the individual differences and non-stationary …
temporal resolution and reliability. However, the individual differences and non-stationary …
Deep learning-based social media mining for user experience analysis: A case study of smart home products
J Wang, YL Liu - Technology in Society, 2023 - Elsevier
Understanding and enhancing user experience (UX) is crucial for new product innovation.
Abundant user-generated content (UGC) from social media contains information about …
Abundant user-generated content (UGC) from social media contains information about …
Feature selection for handling label ambiguity using weighted label-fuzzy relevancy and redundancy
Feature selection is a crucial step for data preprocessing, and it is widely applied in machine
learning. It can eliminate features that are redundant or irrelevant from data, thereby …
learning. It can eliminate features that are redundant or irrelevant from data, thereby …
A review on emotion detection by using deep learning techniques
Along with the growth of Internet with its numerous potential applications and diverse fields,
artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular …
artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular …
Dynamic confidence-aware multi-modal emotion recognition
Multi-modal emotion recognition has attracted increasing attention in human-computer
interaction, as it extracts complementary information from physiological and behavioral …
interaction, as it extracts complementary information from physiological and behavioral …
Survey of deep emotion recognition in dynamic data using facial, speech and textual cues
T Zhang, Z Tan - Multimedia Tools and Applications, 2024 - Springer
With the advancement of multimedia and human-computer interaction, it has become
increasingly crucial to perceive people's emotional states in dynamic data (eg, video, audio …
increasingly crucial to perceive people's emotional states in dynamic data (eg, video, audio …
Prompt consistency for multi-label textual emotion detection
Textual emotion detection is playing an important role in the human-computer interaction
domain. The mainstream methods of textual emotion detection are extracting semantic …
domain. The mainstream methods of textual emotion detection are extracting semantic …
Tracking emotions using an evolutionary model of mental state transitions: Introducing a new paradigm
Owing to rapid advancements in artificial intelligence, the role of emotion recognition has
become paramount in human–computer interaction. Traditional approaches often reduce …
become paramount in human–computer interaction. Traditional approaches often reduce …