An innovative new tool draws on emojis to improve consumer sentiment analysis

In today's hyperconnected world, social media has become a critical channel for businesses to understand consumers. While ...
IEEE

MLAR-Net: A Multilevel Attention-Based ResNet Module for the Automated Recognition of Emotions Using Single-Channel EEG Signals

Abstract: Human emotion recognition is important as it finds applications in multiple domains such as medicine, entertainment, and military. However, accurately identifying emotions remains ...
GitHub

Block or report Bhuvanasri-S

A simple Convolutional Neural Network (CNN) project for real-time face mask detection using Python, TensorFlow, and OpenCV. Includes sample output and instructions to train with Kaggle Face Mask Da… ...
IEEE

Speech Emotion Recognition using Cepstral Features Extracted with Gammatone Filter Banks Realized based on ERB and Mel Frequency Scales

Abstract: Speech emotion recognition (SER) involves identifying a speaker’s emotional state from their speech utterance. Prior research has explored various cepstral features for developing SER ...
Frontiers

An in-depth exploration of machine learning methods for mental health state detection: a systematic review and analysis

Introduction: The global rise in mental health issues has become a significant public health challenge, exacerbated by the reluctance of many individuals to share their mental health concerns due to ...