Marina Sokolova

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 26

Top Topics

Sentiment Analysis

Gene Ontology Terms

Feature Selection

Top Venues

Canadian Conference on AI

Publications

Fabian Nwaoha, Ziyad Gaffar, Ho Joon Chun, Marina Sokolova
Longitudinal Sentiment Classification of Reddit Posts. CoRR (2024)
Fabian Nwaoha, Ziyad Gaffar, Ho Joon Chun, Marina Sokolova
Longitudinal Sentiment Topic Modelling of Reddit Posts. CoRR (2024)
Siana Kong, Marina Sokolova
Explainable Multi-Label Classification of MBTI Types. CoRR (2024)
Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, Jean-Christophe Grenier, Robert G. Beiko, Julie Hussin
deepSimDEF: deep neural embeddings of gene products and gene ontology terms for functional analysis of genes. Bioinform. 38 (11) (2022)
Yilin Yang, Tomas Fieg, Marina Sokolova
Sentiment Analysis of Covid-related Reddits. CoRR (2022)
Zihan Chen, Marina Sokolova
Sentiment Analysis of the COVID-related r/Depression Posts. CoRR (2021)
Qufei Chen, Marina Sokolova
Specialists, Scientists, and Sentiments: Word2Vec and Doc2Vec in Analysis of Scientific and Medical Texts. SN Comput. Sci. 2 (5) (2021)
YuanZheng Hu, Marina Sokolova
Explainable Multi-class Classification of the CAMH COVID-19 Mental Health Data. CoRR (2021)
YuanZheng Hu, Marina Sokolova
Convolutional Neural Networks in Multi-Class Classification of Medical Data. CoRR (2020)
YuanZheng Hu, Marina Sokolova
Explainable Multi-class Classification of Medical Data. CoRR (2020)
Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, Ali Pesaranghader
deepBioWSD: effective deep neural word sense disambiguation of biomedical text data. J. Am. Medical Informatics Assoc. 26 (5) (2019)
Qufei Chen, Marina Sokolova
Unsupervised Sentiment Analysis of Objective Texts. Canadian Conference on AI (2019)
Victoria Bobicev, Marina Sokolova
Thumbs Up and Down: Sentiment Analysis of Medical Online Forums. SMM4H@EMNLP (2018)
Marina Sokolova
Big Text advantages and challenges: classification perspective. Int. J. Data Sci. Anal. 5 (1) (2018)
Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin, Marina Sokolova
One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data. CoRR (2018)
Qufei Chen, Marina Sokolova
Word2Vec and Doc2Vec in Unsupervised Sentiment Analysis of Clinical Discharge Summaries. CoRR (2018)
Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin, Marina Sokolova
One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data. Canadian Conference on AI (2018)
Marina Sokolova, Victoria Bobicev
Corpus Statistics in Text Classification of Online Data. CoRR (2018)
Victoria Bobicev, Marina Sokolova
Confused and Thankful: Multi-label Sentiment Classification of Health Forums. Canadian Conference on AI (2017)
Victoria Bobicev, Marina Sokolova
Inter-Annotator Agreement in Sentiment Analysis: Machine Learning Perspective. RANLP (2017)
Marina Sokolova, Vera Sazonova, Kanyi Huang, Rudraneel Chakraboty, Stan Matwin
Studying Positive Speech on Twitter. CoRR (2017)
Yasser Jafer, Stan Matwin, Marina Sokolova
A Multi-dimensional Privacy-aware Evaluation Function in Automatic Feature Selection. Trans. Data Priv. 10 (3) (2017)
Dung Tran, Marina Sokolova
Applying multi-label and multi-class classification to enhance K-anonymity in sequential releases. Prog. Artif. Intell. 5 (4) (2016)
Marina Sokolova, Kanyi Huang, Stan Matwin, Joshua Ramisch, Vera Sazonova, Renee Black, Chris Orwa, Sidney Ochieng, Nanjira Sambuli
Topic Modelling and Event Identification from Twitter Textual Data. CoRR (2016)
Kambiz Ghazinour, Stan Matwin, Marina Sokolova
YOURPRIVACYPROTECTOR, A recommender system for privacy settings in social networks. CoRR (2016)
Ahmad Pesaranghader, Stan Matwin, Marina Sokolova, Robert G. Beiko
simDEF: definition-based semantic similarity measure of gene ontology terms for functional similarity analysis of genes. Bioinform. 32 (9) (2016)
Victoria Bobicev, Marina Sokolova, Michael P. Oakes
What Goes Around Comes Around: Learning Sentiments in Online Medical Forums. Cogn. Comput. 7 (5) (2015)
Yasser Jafer, Stan Matwin, Marina Sokolova
A framework for a privacy-aware feature selection evaluation measure. PST (2015)
Yasser Jafer, Stan Matwin, Marina Sokolova
Privacy-aware Wrappers. Canadian Conference on AI (2015)
Victoria Bobicev, Marina Sokolova, Michael P. Oakes
Sentiment and Factual Transitions in Online Medical Forums. Canadian Conference on AI (2015)
Marina Sokolova, Victoria Bobicev
Learning Relationship between Authors' Activity and Sentiments: A case study of online medical forums. RANLP (2015)
Naveen Kumar Parachur Cotha, Marina Sokolova
Multi-Labeled Classification of Demographic Attributes of Patients: a case study of diabetics patients. CoRR (2015)
Naveen Kumar Parachur Cotha, Marina Sokolova
Multi-label learning in classification of patients' quasi-identifiers. Prog. Artif. Intell. 4 (3-4) (2015)
Victoria Bobicev, Marina Sokolova
No Sentiment is an Island - Sentiment Classification on Medical Forums. Discovery Science (2015)
Victoria Bobicev, Marina Sokolova, Michael P. Oakes
Recognition of Sentiment Sequences in Online Discussions. SocialNLP@COLING (2014)
Yasser Jafer, Stan Matwin, Marina Sokolova
Privacy-aware filter-based feature selection. IEEE BigData (2014)
Yasser Jafer, Stan Matwin, Marina Sokolova
Task Oriented Privacy Preserving Data Publishing Using Feature Selection. Canadian Conference on AI (2014)
Yasser Jafer, Stan Matwin, Marina Sokolova
Using Feature Selection to Improve the Utility of Differentially Private Data Publishing. EUSPN/ICTH (2014)
Victoria Bobicev, Marina Sokolova, Khaled El Emam, Stan Matwin
Authorship Attribution in Health Forums. RANLP (2013)
Marina Sokolova, Victoria Bobicev
What Sentiments Can Be Found in Medical Forums? RANLP (2013)
Marina Sokolova, Ilya Ioshikhes, Hamid Poursepanj, Alex MacKenzie
NLP can help parents to understand rare diseases. RANLP (Medicine and Biology) (2013)
Tanveer Ali, David Schramm, Marina Sokolova, Diana Inkpen
Can I Hear You? Sentiment Analysis on Medical Forums. IJCNLP (2013)
Kambiz Ghazinour, Marina Sokolova, Stan Matwin
Detecting Health-Related Privacy Leaks in Social Networks Using Text Mining Tools. Canadian Conference on AI (2013)
Marina Sokolova, Stan Matwin, Yasser Jafer, David Schramm
How Joe and Jane Tweet about Their Health: Mining for Personal Health Information on Twitter. RANLP (2013)
Tanveer Ali, Marina Sokolova, David Schramm, Diana Inkpen
Opinion Learning from Medical Forums. RANLP (2013)
Kambiz Ghazinour, Stan Matwin, Marina Sokolova
Monitoring and recommending privacy settings in social networks. EDBT/ICDT Workshops (2013)
Marina Sokolova, Yasser Jafer, David Schramm
Text Mining for Personal Health Information on Twitter. HISB (2012)
Victoria Bobicev, Marina Sokolova, Yasser Jafer, David Schramm
Learning Sentiments from Tweets with Personal Health Information. Canadian Conference on AI (2012)
Marina Sokolova, David Schramm
Building a Patient-based Ontology for User-written Web Messages. RANLP (2011)
Marina Sokolova, Guy Lapalme
Learning opinions in user-generated web content. Nat. Lang. Eng. 17 (4) (2011)
Marina Sokolova, Victoria Bobicev
Sentiments and Opinions in Health-related Web messages. RANLP (2011)
Marina Sokolova, Khaled El Emam, Sadrul Chowdhury, Emilio Neri, Sean Rose, Elizabeth Jonker
Evaluation of Rare Event Detection. Canadian Conference on AI (2010)
Khaled El Emam, Emilio Neri, Elizabeth Jonker, Marina Sokolova, Liam Peyton, Angelica Neisa, Teresa Scassa
The inadvertent disclosure of personal health information through peer-to-peer file sharing programs. J. Am. Medical Informatics Assoc. 17 (2) (2010)
Marina Sokolova, Victoria Bobicev
Classification of Emotion Words in Russian and Romanian Languages. RANLP (2009)
Marina Sokolova, Guy Lapalme
Classification of Opinions with Non-affective Adverbs and Adjectives. RANLP (2009)
Marina Sokolova, Guy Lapalme
A systematic analysis of performance measures for classification tasks. Inf. Process. Manag. 45 (4) (2009)
Marina Sokolova, Guy Lapalme
Opinion Learning without Emotional Words. Canadian Conference on AI (2009)
Marina Sokolova, Vivi Nastase, Stan Szpakowicz
The Telling Tail: Signals of Success in Electronic Negotiation Texts. IJCNLP (2008)
Victoria Bobicev, Marina Sokolova
An Effective and Robust Method for Short Text Classification. AAAI (2008)
Marina Sokolova, Guy Lapalme
Verbs Speak Loud: Verb Categories in Learning Polarity and Strength of Opinions. Canadian Conference on AI (2008)
Marina Sokolova, Guy Lapalme
Performance Measures in Classification of Human Communications. Canadian Conference on AI (2007)
Mohak Shah, Marina Sokolova, Stan Szpakowicz
Process-Specific Information for Learning Electronic Negotiation Outcomes. Fundam. Informaticae 74 (2-3) (2006)
Marina Sokolova, Stan Szpakowicz
Language Patterns in the Learning of Strategies from Negotiation Texts. Canadian Conference on AI (2006)
Marina Sokolova, Nathalie Japkowicz, Stan Szpakowicz
Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation. Australian Conference on Artificial Intelligence (2006)
Vivi Nastase, Jelber Sayyad-Shirabad, Marina Sokolova, Stan Szpakowicz
Learning Noun-Modifier Semantic Relations with Corpus-based and WordNet-based Features. AAAI (2006)
Marina Sokolova, Stan Szpakowicz
Analysis and Classification of Strategies in Electronic Negotiations. Canadian Conference on AI (2005)
Mario Marchand, Marina Sokolova
Learning with Decision Lists of Data-Dependent Features. J. Mach. Learn. Res. 6 (2005)
Marina Sokolova, Stan Szpakowicz, Vivi Nastase
Using Language to Determine Success in Negotiations: A Preliminary Study. Canadian Conference on AI (2004)
Mario Marchand, Mohak Shah, John Shawe-Taylor, Marina Sokolova
The Set Covering Machine with Data-Dependent Half-Spaces. ICML (2003)
Mikhail Doroshevich, Marina Sokolova
ICT in Belarus. EGOV (2003)
Marina Sokolova, Mario Marchand, Nathalie Japkowicz, John Shawe-Taylor
The Decision List Machine. NIPS (2002)