Emotion detection
View article: Mental Health Analysis and Feedback System Using NLP and ML
Mental Health Analysis and Feedback System Using NLP and ML Open
- Mental health concerns have become one of the most pressing global issues of the 21st century, affecting individuals across age groups, geographies, and professions. With the rising prevalence of anxiety, stress, and depression, early de…
View article: EmoTune – Emotion Based Music Recommendation System
EmoTune – Emotion Based Music Recommendation System Open
EmoTune is an AI-powered emotion recognition and music recommendation system that bridges the gap between human emotions and personalized music experiences. The project integrates deep learning, computer vision, and API-driven recommendati…
View article: EmoTune – Emotion Based Music Recommendation System
EmoTune – Emotion Based Music Recommendation System Open
EmoTune is an AI-powered emotion recognition and music recommendation system that bridges the gap between human emotions and personalized music experiences. The project integrates deep learning, computer vision, and API-driven recommendati…
View article: Enhancing Hate Speech Detection in Low-Resource Code-Mixed Indonesian Tweets via GPT-Based Data Augmentation
Enhancing Hate Speech Detection in Low-Resource Code-Mixed Indonesian Tweets via GPT-Based Data Augmentation Open
Automatic hate speech detection in low-resource, code-mixed languages, such as Indonesian social media environments, presents significant challenges due to the scarcity of annotated data and the linguistic variability introduced by code-mi…
View article: A Novel Multimodal Sarcasm Detection Methodology with Emotion Recognition Using E-RS-GRU and KLKI-FUZZY Techniques
A Novel Multimodal Sarcasm Detection Methodology with Emotion Recognition Using E-RS-GRU and KLKI-FUZZY Techniques Open
View article: EmoVisioNet: A hybrid network unifying lightweight CNN and attention-based vision model for facial emotion detection
EmoVisioNet: A hybrid network unifying lightweight CNN and attention-based vision model for facial emotion detection Open
View article: "TOWARDS A COMPASSIONATE ALGORITHM: AN INTELLIGENT TEXT AND EMOTIONS MINING FRAMEWORK FOR PREDICTING DEPRESSION AND SUICIDAL RISK ON SOCIAL MEDIA "
"TOWARDS A COMPASSIONATE ALGORITHM: AN INTELLIGENT TEXT AND EMOTIONS MINING FRAMEWORK FOR PREDICTING DEPRESSION AND SUICIDAL RISK ON SOCIAL MEDIA " Open
The growing prevalence of depression and suicidal behavior, particularly among social media users, highlights an urgent need for intelligent systems that move beyond mere detection towards empathy-driven understanding. This research introd…
View article: Emotion and Intention Detection in a Large Language Model
Emotion and Intention Detection in a Large Language Model Open
Large language models (LLMs) have recently shown remarkable capabilities in natural language processing. In this work, we investigate whether an advanced LLM can recognize user emotions and intentions from text, focusing on the open-source…
View article: A Multimodel Approach to Recognize Emotion Using Deep Learning Techniques
A Multimodel Approach to Recognize Emotion Using Deep Learning Techniques Open
Emotion recognizing human emotions has become an important research topic as it supports various domains including interactive systems, medical support tools, safety applications, and intelligent services. While traditional systems focus o…
View article: Tackling toxicity in Arabic social media through advanced detection techniques
Tackling toxicity in Arabic social media through advanced detection techniques Open
Online social networks are currently the most widely utilized interactive media for interpersonal communication, emotional expression, and information sharing. Despite the helpful and fascinating content, unfortunately, inappropriate or ab…
View article: An enhanced social emotional recognition model using bidirectional gated recurrent unit and attention mechanism with advanced optimization algorithms
An enhanced social emotional recognition model using bidirectional gated recurrent unit and attention mechanism with advanced optimization algorithms Open
Social-emotional learning (SEL) is gradually becoming a region of attention for defining children's school readiness and forecasting academic success. It is the procedure of incorporating cognition, behaviour, and emotion into daily life. …
View article: Textual emotion recognition to improve real-time communication of disabled people in sustainable environments using an ensemble deep learning approach
Textual emotion recognition to improve real-time communication of disabled people in sustainable environments using an ensemble deep learning approach Open
Social media platforms are prevalently used to express and share opinions on a wide range of topics, which has amplified interest in textual emotion detection. However, accurately detecting emotions in individuals, especially those with co…
View article: Arabic hate speech detection based on BERT models variants
Arabic hate speech detection based on BERT models variants Open
View article: EEG Emotion Recognition Through Deep Learning
EEG Emotion Recognition Through Deep Learning Open
An advanced emotion classification model was developed using a CNN-Transformer architecture for emotion recognition from EEG brain wave signals, effectively distinguishing among three emotional states, positive, neutral and negative. The m…
View article: LAStER: Lexical Data Augmentation with Stacking Ensembles for Robust Emotion Detection in Low-Resource Corpora
LAStER: Lexical Data Augmentation with Stacking Ensembles for Robust Emotion Detection in Low-Resource Corpora Open
View article: SyncPixel: A Computer Vision Framework for Automated Emotion-Based Music Suggestions
SyncPixel: A Computer Vision Framework for Automated Emotion-Based Music Suggestions Open
In the age of social media, visual content plays a dominant role in digital self-expression. However, selecting the right accompanying music to match the emotional tone of an image remains a time-consuming and subjective process for users.…
View article: EEG Emotion Recognition Through Deep Learning
EEG Emotion Recognition Through Deep Learning Open
An advanced emotion classification model was developed using a CNN-Transformer architecture for emotion recognition from EEG brain wave signals, effectively distinguishing among three emotional states, positive, neutral and negative. The m…
View article: SyncPixel: A Computer Vision Framework for Automated Emotion-Based Music Suggestions
SyncPixel: A Computer Vision Framework for Automated Emotion-Based Music Suggestions Open
In the age of social media, visual content plays a dominant role in digital self-expression. However, selecting the right accompanying music to match the emotional tone of an image remains a time-consuming and subjective process for users.…
View article: Autism Detection System using Machine Learning
Autism Detection System using Machine Learning Open
Autism spectrum disorder (ASD) is a developmental disorder that influences social interaction, communication skills, and behavioral responses. Identifying ASD at an early stage is crucial because it allows children to receive timely suppor…
View article: Optimized Sentiment Analysis with PSO-BERT for Generation Z’s Emotional Response to Popular Songs
Optimized Sentiment Analysis with PSO-BERT for Generation Z’s Emotional Response to Popular Songs Open
This study investigates the sentiment polarity (positive, negative, neutral) and specific emotions (joy, sadness, anger, surprise, trust, anticipation, disgust, and fear) expressed by Generation Z in digital platform comments regarding sev…
View article: Classification of Hope in Textual Data using Transformer-Based Models
Classification of Hope in Textual Data using Transformer-Based Models Open
This paper presents a transformer-based approach for classifying hope expressions in text. We developed and compared three architectures (BERT, GPT-2, and DeBERTa) for both binary classification (Hope vs. Not Hope) and multiclass categoriz…
View article: Classification of Hope in Textual Data using Transformer-Based Models
Classification of Hope in Textual Data using Transformer-Based Models Open
This paper presents a transformer-based approach for classifying hope expressions in text. We developed and compared three architectures (BERT, GPT-2, and DeBERTa) for both binary classification (Hope vs. Not Hope) and multiclass categoriz…
View article: Multimodal Emotion-Aware Conversational Agent for Mental Health Support Using Deep Learning and Generative AI
Multimodal Emotion-Aware Conversational Agent for Mental Health Support Using Deep Learning and Generative AI Open
Mental health concerns affect individuals across all ages, yet many people hesitate to seek help due to stigma, limited access to professionals, or fear of judgement. Although AI-driven chatbots offer a convenient way to provide support, m…
View article: Review Of Emotion Recognition Technology Methods Based on Deep Recognition
Review Of Emotion Recognition Technology Methods Based on Deep Recognition Open
With the rapid advancement of artificial intelligence, sensor technology, and big data analytics, the way humans interact with machines is shifting from an "instruction-based" mode to a "perception-based" one. As emotions are the core driv…
View article: AI Friend: Emotion and Object Detection Using Camera for Empathetic Conversational Companionship
AI Friend: Emotion and Object Detection Using Camera for Empathetic Conversational Companionship Open
Artificial Intelligence (AI) is increasingly transform- ing the way humans interact with digital systems by enabling emotionally responsive, empathetic companions. The AI Friend Web App is designed as an interactive assistant capable of de…
View article: Expansion quantization network: A micro-emotion detection and annotation framework
Expansion quantization network: A micro-emotion detection and annotation framework Open
Textemotion detection constitutes a crucial foundation for advancing artificial intelligence from basic comprehension to the exploration of emotional reasoning. Most existing emotion detection datasets rely on manual annotations, which are…
View article: Personalisation and profiling using algorithms and not-so-popular Colombian music: goal-directed mechanisms in music emotion recognition
Personalisation and profiling using algorithms and not-so-popular Colombian music: goal-directed mechanisms in music emotion recognition Open
This work investigates how personalised Music Emotion Recognition (MER) systems may lead to sensitive profiling when applied to musically induced emotions in politically charged contexts. We focus on traditional Colombian music with explic…
View article: AI Friend: Emotion and Object Detection Using Camera for Empathetic Conversational Companionship
AI Friend: Emotion and Object Detection Using Camera for Empathetic Conversational Companionship Open
Artificial Intelligence (AI) is increasingly transform- ing the way humans interact with digital systems by enabling emotionally responsive, empathetic companions. The AI Friend Web App is designed as an interactive assistant capable of de…
View article: Schematic diagram of the EQN structure.
Schematic diagram of the EQN structure. Open
Textemotion detection constitutes a crucial foundation for advancing artificial intelligence from basic comprehension to the exploration of emotional reasoning. Most existing emotion detection datasets rely on manual annotations, which ar…
View article: Comparison of expanded experimental results.
Comparison of expanded experimental results. Open
Textemotion detection constitutes a crucial foundation for advancing artificial intelligence from basic comprehension to the exploration of emotional reasoning. Most existing emotion detection datasets rely on manual annotations, which ar…