Svitlana Volkova
Svitlana Volkova
Data Sciences and Analytics Group, National Security Directorate, Pacific Northwest National
Bestätigte E-Mail-Adresse bei pnnl.gov - Startseite
TitelZitiert vonJahr
Studying user income through language, behaviour and affect in social media
D Preoţiuc-Pietro, S Volkova, V Lampos, Y Bachrach, N Aletras
PloS one 10 (9), e0138717, 2015
1342015
Truth of varying shades: Analyzing language in fake news and political fact-checking
H Rashkin, E Choi, JY Jang, S Volkova, Y Choi
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
1172017
Inferring latent user properties from texts published in social media
S Volkova, Y Bachrach, M Armstrong, V Sharma
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
972015
Inferring user political preferences from streaming communications
S Volkova, G Coppersmith, B Van Durme
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
912014
Separating facts from fiction: Linguistic models to classify suspicious and trusted news posts on twitter
S Volkova, K Shaffer, JY Jang, N Hodas
Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017
862017
Exploring demographic language variations to improve multilingual sentiment analysis in social media
S Volkova, T Wilson, D Yarowsky
Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013
852013
Exploring sentiment in social media: Bootstrapping subjectivity clues from multilingual twitter streams
S Volkova, T Wilson, D Yarowsky
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
502013
On predicting sociodemographic traits and emotions from communications in social networks and their implications to online self-disclosure
S Volkova, Y Bachrach
Cyberpsychology, Behavior, and Social Networking 18 (12), 726-736, 2015
482015
Inferring perceived demographics from user emotional tone and user-environment emotional contrast
S Volkova, Y Bachrach
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
262016
CLex: a lexicon for exploring color, concept and emotion associations in language
S Volkova, WB Dolan, T Wilson
Proceedings of the 13th Conference of the European Chapter of the …, 2012
242012
Using emotions to predict user interest areas in online social networks
Y Lewenberg, Y Bachrach, S Volkova
2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015
232015
Misleading or falsification: Inferring deceptive strategies and types in online news and social media
S Volkova, JY Jang
Companion Proceedings of the The Web Conference 2018, 575-583, 2018
202018
Using social media to predict the future: a systematic literature review
L Phillips, C Dowling, K Shaffer, N Hodas, S Volkova
arXiv preprint arXiv:1706.06134, 2017
202017
Crowdsourced, grounded language for intent modeling in conversational interfaces
CJ Brockett, P Choudhury, WB Dolan, YC Ju, P Pantel, NM Sophy, ...
US Patent 9,754,585, 2017
182017
Mining user interests to predict perceived psycho-demographic traits on twitter
S Volkova, Y Bachrach, B Van Durme
2016 IEEE Second International Conference on Big Data Computing Service and …, 2016
182016
Forecasting influenza-like illness dynamics for military populations using neural networks and social media
S Volkova, E Ayton, K Porterfield, CD Corley
PloS one 12 (12), e0188941, 2017
172017
Online bayesian models for personal analytics in social media
S Volkova, B Van Durme
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
162015
Animal disease event recognition and classification
S Volkova, D Caragea, WH Hsu, S Bujuru
Proceedings of the First International Workshop on Web Science and …, 2010
122010
Identifying and understanding user reactions to deceptive and trusted social news sources
M Glenski, T Weninger, S Volkova
arXiv preprint arXiv:1805.12032, 2018
112018
Improving gender prediction of social media users via weighted annotator rationales
S Volkova, D Yarowsky
NIPS 2014 Workshop on Personalization, 2014
112014
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