nstdigi

Department of Digitalization

Nadiya
Straton
PhD fellow


Room: HOW/60-5.10
E-mail: ns.digi@cbs.dk
Nadiya Straton
Presentation

Nadiya is a PhD Fellow at Copenhagen Business School at the department of Digitalization.

She currently looks into application of machine learning algorithms to social media and public health care domains.

Nadiya holds degrees in Software Development Technology, Finance and International Business.

In addition to her academic background, she has industry experience within finance, operations and project planning.

Primary research areas
  • Data Science, Machine Learning
  • Social Media
  • Public Health Care
     
Social media
Link to this homepage
www.cbs.dk/en/staff/nstdigi
Publications sorted by:
2020
Nadiya Straton; Hyeju Jang; Raymond Ng / Stigma Annotation Scheme and Stigmatized Language Detection in Health-Care Discussions on Social Media
In: Proceedings of The 12th Language Resources and Evaluation Conference (LREC 2020)Paris : European Language Resources Association 2020, 13 p., p. 1178-1190
Conference abstract in proceedings > peer review
2019
Nadiya Straton; Hyeju Jang; Raymond Ng; Ravi Vatrapu; Raghava Rao Mukkamala / Computational Modeling of Stigmatized Behaviour in Pro-Vaccination and Anti-Vaccination Discussions on Social Media
In: Proceedings of 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). ed. /Illhoi Yoo; Jinbo Bi; Xiaohua Hu. Piscataway, NJ : IEEE 11.2019, p. 2673-2681
Article in proceedings > peer review
Nadiya Straton; Raymond Ng; Hyeju Jang; Ravi Vatrapu; Raghava Rao Mukkamala / Predictive Modelling of Stigmatized Behaviour in Vaccination Discussions on Facebook
In: Proceedings of 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). ed. /Illhoi Yoo; Jinbo Bi; Xiaohua Hu. Piscataway, NJ : IEEE 11.2019, p. 2561-2568
Article in proceedings > peer review
2017
Nadiya Straton; Raghava Rao Mukkamala; Ravi Vatrapu / Big Social Data Analytics for Public Health : Predicting Facebook Post Performance Using Artificial Neural Networks and Deep Learning.
In: Proceedings of the 6th IEEE International Congress on Big Data. BigData Congress 2017. ed. /George Karypis; Jia Zhang. Los Alamitos, CA : IEEE 2017, p. 89-96
Article in proceedings > peer review
Nadiya Straton; Raghava Rao Mukkamala; Ravi Vatrapu / Big Social Data Analytics for Public Health : Comparative Methods Study and Performance Indicators of Health Care Content on Facebook.
In: Proceedings. 2017 IEEE International Conference on Big Data: IEEE Big Data 2017. . ed. /Jian-Yun Nie; Zoran Obradovic; Toyotaro Suzumura; Rumi Ghosh; Raghunath Nambiar; Chonggang Wang; Hui Zang; Ricardo Baeza-Yates; Xiaohua Hu; Jeremy Kepner; Alfredo Cuzzocrea; Jian Tang; Masashi Toyoda. Los Alamitos, CA : IEEE 2017, p. 2772-2777
Article in proceedings > peer review
Nadiya Straton; Ravi Vatrapu; Raghava Rao Mukkamala / Facebook and Public Health : A Study to Understand Facebook Post Performance with Organizations’ Strategy.
In: Proceedings. 2017 IEEE International Conference on Big Data: IEEE Big Data 2017. . ed. /Jian-Yun Nie; Zoran Obradovic; Toyotaro Suzumura; Rumi Ghosh; Raghunath Nambiar; Chonggang Wang; Hui Zang; Ricardo Baeza-Yates; Xiaohua Hu; Jeremy Kepner; Alfredo Cuzzocrea; Jian Tang; Masashi Toyoda. Los Alamitos, CA : IEEE 2017, p. 3123-3132
Article in proceedings > peer review
2016
Nadiya Straton; Kjeld Hansen; Raghava Rao Mukkamala; Abid Hussain; Tor-Morten Grønli; Henning Langberg; Ravi Vatrapu / Big Social Data Analytics for Public Health : Facebook Engagement and Performance.
In: 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom). ed. /Alois Paulin. Los Alamitos, CA : IEEE 2016, p. 442-447
Article in proceedings > peer review