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Challenges and opportunities of text-based emotion detection: a survey
Emotion detection has become an intriguing issue for researchers owing to its
psychological, social, and commercial significance. People express their feelings directly or …
psychological, social, and commercial significance. People express their feelings directly or …
Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …
and communication advancements will empower better administration of accessible …
Deep learning for depression detection from textual data
Depression is a prevalent sickness, spreading worldwide with potentially serious
implications. Timely recognition of emotional responses plays a pivotal function at present …
implications. Timely recognition of emotional responses plays a pivotal function at present …
An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition
Precise recognition of emotion from speech signals aids in enhancing human–computer
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …
interaction (HCI). The performance of a speech emotion recognition (SER) system depends …
Hand gesture classification using a novel CNN-crow search algorithm
Human–computer interaction (HCI) and related technologies focus on the implementation of
interactive computational systems. The studies in HCI emphasize on system use, creation of …
interactive computational systems. The studies in HCI emphasize on system use, creation of …
ElStream: An ensemble learning approach for concept drift detection in dynamic social big data stream learning
With the rapid increase in communication technologies and smart devices, an enormous
surge in data traffic has been observed. A huge amount of data gets generated every …
surge in data traffic has been observed. A huge amount of data gets generated every …
Cardiovascular disease detection using ensemble learning
A Alqahtani, S Alsubai, M Sha… - Computational …, 2022 - Wiley Online Library
One of the most challenging tasks for clinicians is detecting symptoms of cardiovascular
disease as earlier as possible. Many individuals worldwide die each year from …
disease as earlier as possible. Many individuals worldwide die each year from …
Authorship identification using ensemble learning
With time, textual data is proliferating, primarily through the publications of articles. With this
rapid increase in textual data, anonymous content is also increasing. Researchers are …
rapid increase in textual data, anonymous content is also increasing. Researchers are …
Context-aware emotion detection from low-resource Urdu language using deep neural network
MF Bashir, AR Javed, MU Arshad… - ACM Transactions on …, 2023 - dl.acm.org
Emotion detection (ED) plays a vital role in determining individual interest in any field.
Humans use gestures, facial expressions, and voice pitch and choose words to describe …
Humans use gestures, facial expressions, and voice pitch and choose words to describe …
Speech emotion recognition via graph-based representations
Speech emotion recognition (SER) has gained an increased interest during the last decades
as part of enriched affective computing. As a consequence, a variety of engineering …
as part of enriched affective computing. As a consequence, a variety of engineering …