5 citations · 15 across the 6 of their papers we have counts for
9 papers
Sentiment Analysis of Covid-related Reddits
Yilin Yang, Tomas Fieg, Marina Sokolova
This paper focuses on Sentiment Analysis of Covid-19 related messages from the r/Canada and r/Unitedkingdom subreddits of Reddit. We apply manual annotation and three Machine Learn…
Sentiment Analysis of the COVID-related r/Depression Posts
Zihan Chen, Marina Sokolova
Reddit.com is a popular social media platform among young people. Reddit users share their stories to seek support from other users, especially during the Covid-19 pandemic. Messag…
Convolutional Neural Networks in Multi-Class Classification of Medical Data
YuanZheng Hu, Marina Sokolova
We report applications of Convolutional Neural Networks (CNN) to multi-classification classification of a large medical data set. We discuss in detail how changes in the CNN model…
Explainable Multi-class Classification of Medical Data
YuanZheng Hu, Marina Sokolova
Machine Learning applications have brought new insights into a secondary analysis of medical data. Machine Learning helps to develop new drugs, define populations susceptible to ce…
Word2Vec and Doc2Vec in Unsupervised Sentiment Analysis of Clinical Discharge Summaries
Qufei Chen, Marina Sokolova
In this study, we explored application of Word2Vec and Doc2Vec for sentiment analysis of clinical discharge summaries. We applied unsupervised learning since the data sets did not…
Corpus Statistics in Text Classification of Online Data
Marina Sokolova, Victoria Bobicev
Transformation of Machine Learning (ML) from a boutique science to a generally accepted technology has increased importance of reproduction and transportability of ML studies. In t…