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ORCIDMarina Sokolova
Person information
- affiliation: University of Ottawa, ON, Canada
- affiliation: Dalhousie University, Halifax, NS, Canada
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2020 – today
- 2024
[i15]Fabian Nwaoha, Ziyad Gaffar, Ho Joon Chun, Marina Sokolova:
Longitudinal Sentiment Classification of Reddit Posts. CoRR abs/2401.12382 (2024)- [i14]Fabian Nwaoha, Ziyad Gaffar, Ho Joon Chun, Marina Sokolova:
Longitudinal Sentiment Topic Modelling of Reddit Posts. CoRR abs/2401.13805 (2024) - [i13]Siana Kong, Marina Sokolova:
Explainable Multi-Label Classification of MBTI Types. CoRR abs/2405.02349 (2024) - 2022
- [j14]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): 3051-3061 (2022) - [i12]Yilin Yang, Tomas Fieg, Marina Sokolova:
Sentiment Analysis of Covid-related Reddits. CoRR abs/2205.06863 (2022) - 2021
- [j13]Qufei Chen, Marina Sokolova:
Specialists, Scientists, and Sentiments: Word2Vec and Doc2Vec in Analysis of Scientific and Medical Texts. SN Comput. Sci. 2(5): 414 (2021) - [i11]YuanZheng Hu, Marina Sokolova:
Explainable Multi-class Classification of the CAMH COVID-19 Mental Health Data. CoRR abs/2105.13430 (2021) - [i10]Zihan Chen, Marina Sokolova:
Sentiment Analysis of the COVID-related r/Depression Posts. CoRR abs/2108.06215 (2021) - 2020
- [i9]YuanZheng Hu, Marina Sokolova:
Explainable Multi-class Classification of Medical Data. CoRR abs/2012.13796 (2020) - [i8]YuanZheng Hu, Marina Sokolova:
Convolutional Neural Networks in Multi-Class Classification of Medical Data. CoRR abs/2012.14059 (2020)
2010 – 2019
- 2019
- [j12]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): 438-446 (2019) - [c42]Qufei Chen, Marina Sokolova:
Unsupervised Sentiment Analysis of Objective Texts. Canadian AI 2019: 460-465 - 2018
- [j11]Marina Sokolova:
Big Text advantages and challenges: classification perspective. Int. J. Data Sci. Anal. 5(1): 1-10 (2018) - [c41]Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin, Marina Sokolova:
One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data. Canadian AI 2018: 96-107 - [c40]Victoria Bobicev, Marina Sokolova:
Thumbs Up and Down: Sentiment Analysis of Medical Online Forums. SMM4H@EMNLP 2018: 22-26 - [i7]Ahmad Pesaranghader, Ali Pesaranghader, Stan Matwin, Marina Sokolova:
One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data. CoRR abs/1802.09059 (2018) - [i6]Marina Sokolova, Victoria Bobicev:
Corpus Statistics in Text Classification of Online Data. CoRR abs/1803.06390 (2018) - [i5]Qufei Chen, Marina Sokolova:
Word2Vec and Doc2Vec in Unsupervised Sentiment Analysis of Clinical Discharge Summaries. CoRR abs/1805.00352 (2018) - 2017
- [j10]Yasser Jafer, Stan Matwin, Marina Sokolova:
A Multi-dimensional Privacy-aware Evaluation Function in Automatic Feature Selection. Trans. Data Priv. 10(3): 145-174 (2017) - [c39]Victoria Bobicev, Marina Sokolova:
Confused and Thankful: Multi-label Sentiment Classification of Health Forums. Canadian AI 2017: 284-289 - [c38]Victoria Bobicev, Marina Sokolova:
Inter-Annotator Agreement in Sentiment Analysis: Machine Learning Perspective. RANLP 2017: 97-102 - [i4]Marina Sokolova, Vera Sazonova, Kanyi Huang, Rudraneel Chakraboty, Stan Matwin:
Studying Positive Speech on Twitter. CoRR abs/1702.08866 (2017) - 2016
- [j9]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): 1380-1387 (2016) - [j8]Dung Tran, Marina Sokolova:
Applying multi-label and multi-class classification to enhance K-anonymity in sequential releases. Prog. Artif. Intell. 5(4): 277-288 (2016) - [p1]Marina Sokolova, Stan Matwin:
Personal Privacy Protection in Time of Big Data. Challenges in Computational Statistics and Data Mining 2016: 365-380 - [i3]Kambiz Ghazinour, Stan Matwin, Marina Sokolova:
YOURPRIVACYPROTECTOR, A recommender system for privacy settings in social networks. CoRR abs/1602.01937 (2016) - [i2]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 abs/1608.02519 (2016) - 2015
- [j7]Victoria Bobicev, Marina Sokolova, Michael P. Oakes:
What Goes Around Comes Around: Learning Sentiments in Online Medical Forums. Cogn. Comput. 7(5): 609-621 (2015) - [j6]Naveen Kumar Parachur Cotha, Marina Sokolova:
Multi-label learning in classification of patients' quasi-identifiers. Prog. Artif. Intell. 4(3-4): 37-48 (2015) - [c37]Yasser Jafer, Stan Matwin, Marina Sokolova:
Privacy-aware Wrappers. Canadian AI 2015: 130-138 - [c36]Victoria Bobicev, Marina Sokolova, Michael P. Oakes:
Sentiment and Factual Transitions in Online Medical Forums. Canadian AI 2015: 204-211 - [c35]Victoria Bobicev, Marina Sokolova:
No Sentiment is an Island - Sentiment Classification on Medical Forums. Discovery Science 2015: 25-32 - [c34]Yasser Jafer, Stan Matwin, Marina Sokolova:
A framework for a privacy-aware feature selection evaluation measure. PST 2015: 62-69 - [c33]Marina Sokolova, Victoria Bobicev:
Learning Relationship between Authors' Activity and Sentiments: A case study of online medical forums. RANLP 2015: 604-610 - [i1]Naveen Kumar Parachur Cotha, Marina Sokolova:
Multi-Labeled Classification of Demographic Attributes of Patients: a case study of diabetics patients. CoRR abs/1503.07795 (2015) - 2014
- [c32]Victoria Bobicev, Marina Sokolova, Michael P. Oakes:
Recognition of Sentiment Sequences in Online Discussions. SocialNLP@COLING 2014: 44-49 - [c31]Yasser Jafer, Stan Matwin, Marina Sokolova:
Task Oriented Privacy Preserving Data Publishing Using Feature Selection. Canadian AI 2014: 143-154 - [c30]Yasser Jafer, Stan Matwin, Marina Sokolova:
Privacy-aware filter-based feature selection. IEEE BigData 2014: 1-5 - [c29]Yasser Jafer, Stan Matwin, Marina Sokolova:
Using Feature Selection to Improve the Utility of Differentially Private Data Publishing. EUSPN/ICTH 2014: 511-516 - [e1]Marina Sokolova, Peter van Beek:
Advances in Artificial Intelligence - 27th Canadian Conference on Artificial Intelligence, Canadian AI 2014, Montréal, QC, Canada, May 6-9, 2014. Proceedings. Lecture Notes in Computer Science 8436, Springer 2014, ISBN 978-3-319-06482-6 [contents] - 2013
- [c28]Kambiz Ghazinour, Marina Sokolova, Stan Matwin:
Detecting Health-Related Privacy Leaks in Social Networks Using Text Mining Tools. Canadian AI 2013: 25-39 - [c27]Kambiz Ghazinour, Stan Matwin, Marina Sokolova:
Monitoring and recommending privacy settings in social networks. EDBT/ICDT Workshops 2013: 164-168 - [c26]Tanveer Ali, David Schramm, Marina Sokolova, Diana Inkpen:
Can I Hear You? Sentiment Analysis on Medical Forums. IJCNLP 2013: 667-673 - [c25]Tanveer Ali, Marina Sokolova, David Schramm, Diana Inkpen:
Opinion Learning from Medical Forums. RANLP 2013: 18-24 - [c24]Marina Sokolova, Ilya Ioshikhes, Hamid Poursepanj, Alex MacKenzie:
NLP can help parents to understand rare diseases. RANLP (Medicine and Biology) 2013: 24-33 - [c23]Victoria Bobicev, Marina Sokolova, Khaled El Emam, Stan Matwin:
Authorship Attribution in Health Forums. RANLP 2013: 74-82 - [c22]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: 626-632 - [c21]Marina Sokolova, Victoria Bobicev:
What Sentiments Can Be Found in Medical Forums? RANLP 2013: 633-639 - 2012
- [c20]Victoria Bobicev, Marina Sokolova, Yasser Jafer, David Schramm:
Learning Sentiments from Tweets with Personal Health Information. Canadian AI 2012: 37-48 - [c19]Marina Sokolova, Yasser Jafer, David Schramm:
Text Mining for Personal Health Information on Twitter. HISB 2012: 112 - 2011
- [j5]Marina Sokolova, Guy Lapalme:
Learning opinions in user-generated web content. Nat. Lang. Eng. 17(4): 541-567 (2011) - [c18]Marina Sokolova, Victoria Bobicev:
Sentiments and Opinions in Health-related Web messages. RANLP 2011: 132-139 - [c17]Marina Sokolova, David Schramm:
Building a Patient-based Ontology for User-written Web Messages. RANLP 2011: 758-763 - 2010
- [j4]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): 148-158 (2010) - [c16]Marina Sokolova, Khaled El Emam, Sadrul Chowdhury, Emilio Neri, Sean Rose, Elizabeth Jonker:
Evaluation of Rare Event Detection. Canadian AI 2010: 379-383
2000 – 2009
- 2009
- [j3]Marina Sokolova, Guy Lapalme:
A systematic analysis of performance measures for classification tasks. Inf. Process. Manag. 45(4): 427-437 (2009) - [c15]Marina Sokolova, Guy Lapalme:
Opinion Learning without Emotional Words. Canadian AI 2009: 253-256 - [c14]Marina Sokolova, Victoria Bobicev:
Classification of Emotion Words in Russian and Romanian Languages. RANLP 2009: 416-420 - [c13]Marina Sokolova, Guy Lapalme:
Classification of Opinions with Non-affective Adverbs and Adjectives. RANLP 2009: 421-427 - 2008
- [c12]Victoria Bobicev, Marina Sokolova:
An Effective and Robust Method for Short Text Classification. AAAI 2008: 1444-1445 - [c11]Marina Sokolova, Guy Lapalme:
Verbs Speak Loud: Verb Categories in Learning Polarity and Strength of Opinions. Canadian AI 2008: 320-331 - [c10]Marina Sokolova, Vivi Nastase, Stan Szpakowicz:
The Telling Tail: Signals of Success in Electronic Negotiation Texts. IJCNLP 2008: 257-264 - 2007
- [c9]Marina Sokolova, Guy Lapalme:
Performance Measures in Classification of Human Communications. Canadian AI 2007: 159-170 - 2006
- [j2]Mohak Shah, Marina Sokolova, Stan Szpakowicz:
Process-Specific Information for Learning Electronic Negotiation Outcomes. Fundam. Informaticae 74(2-3): 351-373 (2006) - [c8]Vivi Nastase, Jelber Sayyad-Shirabad, Marina Sokolova, Stan Szpakowicz:
Learning Noun-Modifier Semantic Relations with Corpus-based and WordNet-based Features. AAAI 2006: 781-787 - [c7]Marina Sokolova, Stan Szpakowicz:
Language Patterns in the Learning of Strategies from Negotiation Texts. Canadian AI 2006: 288-299 - [c6]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: 1015-1021 - 2005
- [j1]Mario Marchand, Marina Sokolova:
Learning with Decision Lists of Data-Dependent Features. J. Mach. Learn. Res. 6: 427-451 (2005) - [c5]Marina Sokolova, Stan Szpakowicz:
Analysis and Classification of Strategies in Electronic Negotiations. Canadian AI 2005: 145-157 - 2004
- [c4]Marina Sokolova, Stan Szpakowicz, Vivi Nastase:
Using Language to Determine Success in Negotiations: A Preliminary Study. Canadian AI 2004: 449-453 - 2003
- [c3]Mikhail Doroshevich, Marina Sokolova:
ICT in Belarus. EGOV 2003: 484-487 - [c2]Mario Marchand, Mohak Shah, John Shawe-Taylor, Marina Sokolova:
The Set Covering Machine with Data-Dependent Half-Spaces. ICML 2003: 520-527 - 2002
- [c1]Marina Sokolova, Mario Marchand, Nathalie Japkowicz, John Shawe-Taylor:
The Decision List Machine. NIPS 2002: 921-928
Coauthor Index
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last updated on 2025-01-09 12:56 CET by the dblp team
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