Marina works in Text Data Mining and Machine Learning. She is a faculty member at  University of Ottawa, Faculty of Medicine and School of Electrical Engineering and Computer Science. Dr. Sokolova obtained her PhD from the School of Information Technology and Engineering, University of Ottawa in 2006. She has been awarded with grants and merit-based awards from Natural Sciences and Engineering Research Council, Canadian Institutes of Health Research, and Japan Society for the Promotion of Science. She is a member of program committees of international conferences on Artificial Intelligence and reviews for international journals in the field of Text Data Mining and participated in  The Agenda with Steve Paikin (TVO). Marina has been selected to serve on the Executive of the Canadian Association for Artificial Intelligence (CAIAC). She is also onthe Editorial Board of Computational  Intelligence, a leading international journal in AI.

Development of automated methods for Social Mining is a challenging task, especially when the methods apply to big volumes of ever-changing data, a phenomenon which is called Big Data. Our goal is to design and deploy the methods that work well with variety of content and context. Part of our research focuses on design and development of automated methods for analysis of user-the funds written Web content and protection of privacy of users. These methods are used to find and extract information from social media, including details pertaining to personal health information and public health. We build methods for automated sentiment analysis and opinion mining from contents of user messages. We also work on extraction and analysis of personal health information posted in social media (e.g., Twitter, social networks, medical forums).

Two popular papers:
http://www.sciencedirect.com/science/article/pii/S0306457309000259
http://link.springer.com/chapter/10.1007/11941439_114

Publications: (dblp)

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  • Institution:CAIAC
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