Marina Sokolova

Orcid: 0000-0002-7719-9615

Affiliations:
  • University of Ottawa, ON, Canada
  • Dalhousie University, Halifax, NS, Canada


According to our database1, Marina Sokolova authored at least 71 papers between 2002 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Explainable Multi-Label Classification of MBTI Types.
CoRR, 2024

Longitudinal Sentiment Topic Modelling of Reddit Posts.
CoRR, 2024

Longitudinal Sentiment Classification of Reddit Posts.
CoRR, 2024

2022
Sentiment Analysis of Covid-related Reddits.
CoRR, 2022

deepSimDEF: deep neural embeddings of gene products and gene ontology terms for functional analysis of genes.
Bioinform., 2022

2021
Specialists, Scientists, and Sentiments: Word2Vec and Doc2Vec in Analysis of Scientific and Medical Texts.
SN Comput. Sci., 2021

Sentiment Analysis of the COVID-related r/Depression Posts.
CoRR, 2021

Explainable Multi-class Classification of the CAMH COVID-19 Mental Health Data.
CoRR, 2021

2020
Convolutional Neural Networks in Multi-Class Classification of Medical Data.
CoRR, 2020

Explainable Multi-class Classification of Medical Data.
CoRR, 2020

2019
deepBioWSD: effective deep neural word sense disambiguation of biomedical text data.
J. Am. Medical Informatics Assoc., 2019

Unsupervised Sentiment Analysis of Objective Texts.
Proceedings of the Advances in Artificial Intelligence, 2019

2018
Big Text advantages and challenges: classification perspective.
Int. J. Data Sci. Anal., 2018

Word2Vec and Doc2Vec in Unsupervised Sentiment Analysis of Clinical Discharge Summaries.
CoRR, 2018

Corpus Statistics in Text Classification of Online Data.
CoRR, 2018

Thumbs Up and Down: Sentiment Analysis of Medical Online Forums.
Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, 2018

One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data.
Proceedings of the Advances in Artificial Intelligence, 2018

2017
A Multi-dimensional Privacy-aware Evaluation Function in Automatic Feature Selection.
Trans. Data Priv., 2017

Studying Positive Speech on Twitter.
CoRR, 2017

Inter-Annotator Agreement in Sentiment Analysis: Machine Learning Perspective.
Proceedings of the International Conference Recent Advances in Natural Language Processing, 2017

Confused and Thankful: Multi-label Sentiment Classification of Health Forums.
Proceedings of the Advances in Artificial Intelligence, 2017

2016
Personal Privacy Protection in Time of Big Data.
Proceedings of the Challenges in Computational Statistics and Data Mining, 2016

Applying multi-label and multi-class classification to enhance K-anonymity in sequential releases.
Prog. Artif. Intell., 2016

Topic Modelling and Event Identification from Twitter Textual Data.
CoRR, 2016

YOURPRIVACYPROTECTOR, A recommender system for privacy settings in social networks.
CoRR, 2016

simDEF: definition-based semantic similarity measure of gene ontology terms for functional similarity analysis of genes.
Bioinform., 2016

2015
Multi-label learning in classification of patients' quasi-identifiers.
Prog. Artif. Intell., 2015

Multi-Labeled Classification of Demographic Attributes of Patients: a case study of diabetics patients.
CoRR, 2015

What Goes Around Comes Around: Learning Sentiments in Online Medical Forums.
Cogn. Comput., 2015

Learning Relationship between Authors' Activity and Sentiments: A case study of online medical forums.
Proceedings of the Recent Advances in Natural Language Processing, 2015

A framework for a privacy-aware feature selection evaluation measure.
Proceedings of the 13th Annual Conference on Privacy, Security and Trust, 2015

No Sentiment is an Island - Sentiment Classification on Medical Forums.
Proceedings of the Discovery Science - 18th International Conference, 2015

Privacy-aware Wrappers.
Proceedings of the Advances in Artificial Intelligence, 2015

Sentiment and Factual Transitions in Online Medical Forums.
Proceedings of the Advances in Artificial Intelligence, 2015

2014
Using Feature Selection to Improve the Utility of Differentially Private Data Publishing.
Proceedings of the 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014)/ The 4th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2014)/ Affiliated Workshops, 2014

Privacy-aware filter-based feature selection.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Task Oriented Privacy Preserving Data Publishing Using Feature Selection.
Proceedings of the Advances in Artificial Intelligence, 2014

Recognition of Sentiment Sequences in Online Discussions.
Proceedings of the Second Workshop on Natural Language Processing for Social Media, 2014

2013
How Joe and Jane Tweet about Their Health: Mining for Personal Health Information on Twitter.
Proceedings of the Recent Advances in Natural Language Processing, 2013

NLP can help parents to understand rare diseases.
Proceedings of the Workshop on NLP for Medicine and Biology associated with RANLP 2013, 2013

What Sentiments Can Be Found in Medical Forums?
Proceedings of the Recent Advances in Natural Language Processing, 2013

Authorship Attribution in Health Forums.
Proceedings of the Recent Advances in Natural Language Processing, 2013

Opinion Learning from Medical Forums.
Proceedings of the Recent Advances in Natural Language Processing, 2013

Can I Hear You? Sentiment Analysis on Medical Forums.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Monitoring and recommending privacy settings in social networks.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

Detecting Health-Related Privacy Leaks in Social Networks Using Text Mining Tools.
Proceedings of the Advances in Artificial Intelligence, 2013

2012
Text Mining for Personal Health Information on Twitter.
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

Learning Sentiments from Tweets with Personal Health Information.
Proceedings of the Advances in Artificial Intelligence, 2012

2011
Learning opinions in user-generated web content.
Nat. Lang. Eng., 2011

Building a Patient-based Ontology for User-written Web Messages.
Proceedings of the Recent Advances in Natural Language Processing, 2011

Sentiments and Opinions in Health-related Web messages.
Proceedings of the Recent Advances in Natural Language Processing, 2011

2010
The inadvertent disclosure of personal health information through peer-to-peer file sharing programs.
J. Am. Medical Informatics Assoc., 2010

Evaluation of Rare Event Detection.
Proceedings of the Advances in Artificial Intelligence, 2010

2009
A systematic analysis of performance measures for classification tasks.
Inf. Process. Manag., 2009

Classification of Opinions with Non-affective Adverbs and Adjectives.
Proceedings of the Recent Advances in Natural Language Processing, 2009

Classification of Emotion Words in Russian and Romanian Languages.
Proceedings of the Recent Advances in Natural Language Processing, 2009

Opinion Learning without Emotional Words.
Proceedings of the Advances in Artificial Intelligence, 2009

2008
The Telling Tail: Signals of Success in Electronic Negotiation Texts.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

Verbs Speak Loud: Verb Categories in Learning Polarity and Strength of Opinions.
Proceedings of the Advances in Artificial Intelligence , 2008

An Effective and Robust Method for Short Text Classification.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Performance Measures in Classification of Human Communications.
Proceedings of the Advances in Artificial Intelligence, 2007

2006
Process-Specific Information for Learning Electronic Negotiation Outcomes.
Fundam. Informaticae, 2006

Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

Language Patterns in the Learning of Strategies from Negotiation Texts.
Proceedings of the Advances in Artificial Intelligence, 2006

Learning Noun-Modifier Semantic Relations with Corpus-based and WordNet-based Features.
Proceedings of the Proceedings, 2006

2005
Learning with Decision Lists of Data-Dependent Features.
J. Mach. Learn. Res., 2005

Analysis and Classification of Strategies in Electronic Negotiations.
Proceedings of the Advances in Artificial Intelligence, 2005

2004
Using Language to Determine Success in Negotiations: A Preliminary Study.
Proceedings of the Advances in Artificial Intelligence, 2004

2003
The Set Covering Machine with Data-Dependent Half-Spaces.
Proceedings of the Machine Learning, 2003

ICT in Belarus.
Proceedings of the Electronic Government, Second International Conference, 2003

2002
The Decision List Machine.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002


  Loading...