Cognitive Networks Extract Insights on COVID-19 Vaccines from English and Italian Popular Tweets: Anticipation, Logistics, Conspiracy and Loss of Trust
Monitoring social discourse about COVID-19 vaccines is key to understanding how large
populations perceive vaccination campaigns. This work reconstructs how popular and …
populations perceive vaccination campaigns. This work reconstructs how popular and …
StackDPP: Stacking-Based Explainable Classifier for Depression Prediction and Finding the Risk Factors among Clinicians
Mental health is a major concern for all classes of people, but especially physicians in the
present world. A challenging task is to identify the significant risk factors that are responsible …
present world. A challenging task is to identify the significant risk factors that are responsible …
Emerging Role of Intelligent Techniques for Effective Detection and Prediction of Mental Disorders
PR Jain, SMK Quadri - … Data Communication Technologies and Internet of …, 2021 - Springer
It has been established and accepted that mental disorders pose one of the most prominent
health challenges worldwide. Information retrieval from mental health data which may be …
health challenges worldwide. Information retrieval from mental health data which may be …
[PDF][PDF] Enhancing Emotion Recognition with Multi-Model Approach Using Deep Neural Network
AK DINESHKUMAR - gtusitecirculars.s3.amazonaws.com
Emotion recognition is a research area that uses computers to recognize human emotions
and feelings. Many single-model emotion recognition models are available but they are …
and feelings. Many single-model emotion recognition models are available but they are …
Multimodal, Context-Aware, Feature Representation Learning for Classification and Localization
SD Bhattacharjee, WJ Tolone… - … Conference on Big …, 2019 - ieeexplore.ieee.org
Automatic detection of malicious or provocative social media content is increasingly
important to efforts leading to counteract illicit activities in the digital platform. This paper …
important to efforts leading to counteract illicit activities in the digital platform. This paper …