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Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care
The objectives were to: 1) Collect audio data from 24 people (12 with depression and 12 without mental health or major health condition diagnoses); 2) Build a machine learning model to predict depression risk.
ChatGPT and Bard Responses to Polarizing Questions
Broadly, our results indicated a left-leaning bias for both ChatGPT and Bard, with Bard more likely to provide responses around polarizing topics.
How is Fatherhood Framed Online in Singapore?
The proliferation of discussion about fatherhood in Singapore attests to its significance, indicating the need for an exploration of how fatherhood is framed, aiding policy-making around fatherhood in Singapore.
Explainable and High-Performance Hate and Offensive Speech Detection
For unbalanced Twitter data, XGboost outperformed the LSTM, AutoGluon, and ULMFiT models on hate speech detection with an F1 score of 0. 75 compared to 0. 38 and 0. 37, and 0. 38 respectively.
Scientometric analysis of literature on distributed vehicular networks : VOSViewer visualization techniques
The idea of vehicular communication has evolved dramatically over the past two decades apparently with technological advancements that accord low power and memory consumption devices, and yet providing low latency and high performing abilities.
