31 citations · 83 across the 11 of their papers we have counts for
11 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…
One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data
Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin +1
Due to recent technical and scientific advances, we have a wealth of information hidden in unstructured text data such as offline/online narratives, research articles, and clinical…
Studying Positive Speech on Twitter
Marina Sokolova, Vera Sazonova, Kanyi Huang +2
We present results of empirical studies on positive speech on Twitter. By positive speech we understand speech that works for the betterment of a given situation, in this case rela…
Topic Modelling and Event Identification from Twitter Textual Data
Marina Sokolova, Kanyi Huang, Stan Matwin +6
The tremendous growth of social media content on the Internet has inspired the development of the text analytics to understand and solve real-life problems. Leveraging statistical…
YOURPRIVACYPROTECTOR, A recommender system for privacy settings in social networks
Kambiz Ghazinour, Stan Matwin, Marina Sokolova
Ensuring privacy of users of social networks is probably an unsolvable conundrum. At the same time, an informed use of the existing privacy options by the social network participan…
Multi-Labeled Classification of Demographic Attributes of Patients: a case study of diabetics patients
Naveen Kumar Parachur Cotha, Marina Sokolova
Automated learning of patients demographics can be seen as multi-label problem where a patient model is based on different race and gender groups. The resulting model can be furthe…