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Svitlana O Volkova

from Richland, WA
Age ~40

Svitlana Volkova Phones & Addresses

  • 2291 Copperhill St, Richland, WA 99354
  • Baltimore, MD
  • Manhattan, KS

Resumes

Resumes

Svitlana Volkova Photo 1

Journalist At 'Minfin'

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Location:
Richland, WA
Industry:
Media Production
Work:
Wordfactory Jun 2017 - Sep 2018
Freelance Copywriter

Treeum Jun 2017 - Sep 2018
Journalist at 'Minfin'

Genius Marketing Nov 2017 - Jul 2018
Copywriter

Top Lead Sep 2016 - Jun 2017
Editor

Trading Flavours Worldwide Sep 2015 - Sep 2016
International Trade Department Assistant
Education:
Be First Marketing School 2015 - 2015
International Solomon University 1996 - 2001
Skills:
Microsoft Office
Microsoft Excel
Microsoft Word
Powerpoint
Sales
Training
Sap
Interests:
Civil Rights and Social Action
Science and Technology
Environment
Economic Empowerment
Languages:
Russian
Ukranian
English
Swedish
Svitlana Volkova Photo 2

Svitlana Volkova

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Location:
2291 Copperhill St, Richland, WA 99354
Industry:
Research
Work:
Johns Hopkins University, Center for Language and Speech Procesing since Sep 2010
PhD Student

Johns Hopkins University since Sep 2010
Teaching Assistant

Kansas State University Jan 2009 - May 2010
Research Assistant

Data Sciences Summer Institute, University of Illinois May 2009 - Jul 2009
Visiting Researcher

Petro Mohyla Black Sea State University Mar 2006 - Jul 2008
Research Fellow, Instructor
Education:
The Johns Hopkins University 2010 - 2015
PhD, Language and Speech Processing; Computer Science
Kansas State University 2008 - 2010
M.S, Computer ScienceThesis: Entity Extraction, Animal Disease-Related Event Recognition from Web Advisors: William H. Hsu. Doina Caragea
Petro Mohyla Black Sea State University 2004 - 2006
M.S, Intellectual Ststems of Decision Making
Petro Mohyla Black Sea State University 2000 - 2004
B.S, Computer Science
Taras Shevchenko National University of Kyiv 1998 - 2000
Skills:
Machine Learning
Natural Language Processing
Computer Science
Artificial Intelligence
Statistics
Pattern Recognition
Information Retrieval
Algorithms
Data Mining
Optimization
Python
Latex
Research
Java
Programming
Matlab
Distributed Systems
R
Interests:
Premium Outlets
Health
Microsoft Research
Social Media Predictive Analytics
Children
Environment
Education
Science and Technology
Baltimore
Natural Language Processing
Deception Detection In Social Media
Sentiment
Social Networks
Ann Taylor
Bing
Johns Hopkins University
Computer Science
Machine Learning
Computer Science Pedagogy
Kansas State University
Arts and Culture
Languages:
Russian
Ukrainian
English

Publications

Us Patents

Crowdsourced, Grounded Language For Intent Modeling In Conversational Interfaces

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US Patent:
20130262114, Oct 3, 2013
Filed:
Apr 3, 2012
Appl. No.:
13/438751
Inventors:
Christopher John Brockett - Bellevue WA, US
Piali Choudhury - Sammamish WA, US
William Brennan Dolan - Kirkland WA, US
Yun-Cheng Ju - Bellevue WA, US
Patrick Pantel - Bellevue WA, US
Noelle Mallory Sophy - Redmond WA, US
Svitlana Volkova - Baltimore MD, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G10L 15/06
G10L 15/18
G10L 15/04
US Classification:
704243, 704E15008, 704E15005, 704E15019
Abstract:
Different advantageous embodiments provide a crowdsourcing method for modeling user intent in conversational interfaces. One or more stimuli are presented to a plurality of describers. One or more sets of describer data are captured from the plurality of describers using a data collection mechanism. The one or more sets of describer data are processed to generate one or more models. Each of the one or more models is associated with a specific stimulus from the one or more stimuli.

Prediction Of Social Media Postings As Trusted News Or As Types Of Suspicious News

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US Patent:
20180365562, Dec 20, 2018
Filed:
Feb 1, 2018
Appl. No.:
15/886079
Inventors:
- Richland WA, US
Svitlana Volkova - Richland WA, US
Assignee:
BATTELLE MEMORIAL INSTITUTE - Richland WA
International Classification:
G06N 3/08
G06Q 50/00
G06N 7/00
G06F 17/27
Abstract:
Disclosed are systems, techniques, and non-transitory storage media for predicting social media postings as being trusted news or a type of suspicious news. The systems, techniques, and non-transitory storage media are based on unique neural network architectures that learn from a combined representation including at least representations of social media posting content and a vector representation of communications among connected users.

Methods To Determine Likelihood Of Social Media Account Deletion

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US Patent:
20170286867, Oct 5, 2017
Filed:
Mar 23, 2017
Appl. No.:
15/467879
Inventors:
- Richland WA, US
Svitlana Volkova - Richland WA, US
Assignee:
BATTELLE MEMORIAL INSTITUTE - Richland WA
International Classification:
G06N 99/00
G06N 5/02
G06Q 50/00
Abstract:
A method for determining the likelihood of a modification of a social media account based upon the algorithmic review of preselected features including, but not limited to, a combination of profile, behavior, language, affect, and network features form the basis for highly accurate (0.82 accuracy) prediction of the deletion of an account.
Svitlana O Volkova from Richland, WA, age ~40 Get Report