Academic Studies & Research
Doctoral Thesis
Atan, S. (2016). “Sentiment Analysis with Text Mining and Borsa Istanbul Application”
(Unpublished doctoral thesis) Ankara University, Ankara.
Published Books
Atan, S, Emekçi H. (August 21, 2018) Introduction to Data Analysis with R, Seçkin Publishing
Atan, S. Google App Engine, Kodlab Publishing
Editorial Work
Baskıcı Ç., Ercil Y., Atan, S.(2020). Network Analysis, Theory and Applications (pp. 145-165). Seçkin Publishing. https://www.seckin.com.tr/kitap/653978417
Book Chapters
Atan, S. (2020). Text Mining as a Research and Decision Making Tool. In Y. Ercil & C. Baskici (Ed.), Systems and Systems Thinking (pp. 219-229). Trafford Publishing. https://www.amazon.com/dp/1490799982/ref=rdr_ext_tmb
Atan, S. (2020). Network Analysis with R and Applications in Semantic Networks. In Network Analysis (pp. 145-165). Seçkin Publishing. https://www.seckin.com.tr/kitap/653978417
Günakan, E., & Atan, S. (2020). Use of Network Analysis in Medical Literature Screening. In Network Analysis (pp. 197-208). Seçkin Publishing. https://www.seckin.com.tr/kitap/653978417
International Publications (SCI Indexed)
Baskici, C., Atan, S. and Ercil, Y. (2018). Authors at the boundary: Interaction of local and general scientific literature. Malaysian Journal of Library & Information Science, 23(3), 15–33.
Günakan, E., Atan, S., Haberal, A. N., Küçükyıldız, İ. A., Gökçe, E. and Ayhan, A. (2018). A novel prediction method for lymph node involvement in endometrial cancer: machine learning. International Journal of Gynecologic Cancer, ijgc–2018.
Turkish Publications
Atan, S. (2022). Web3A: A Web-Based Network Analysis Tool. Bilgi Social Sciences Journal, 24 (1), 1-20.
Atan, S., (2021), “News Analysis with Text Mining for English News about Turkish Construction Companies Operating Abroad”, Economic Approaches Journal, 32(120), pp. 267-301.
Atan, S. (2020), “Comparison of Cloud Computing and Traditional Alternatives: Advantages, Risks and Recommendations for Transition for Businesses”, Afyon Kocatepe University Social Sciences Journal, 2(3), pp. 754.
Atan, Suat, et al. “Determining Strategies for Ownership Relations Through Company Networks”. Doğuş University Journal, vol. 21, no. 2, 2, July 2020, pp. 79-91.
Atan, S. (2020). Text Mining: Opportunities, Methods and Constraints. Mehmet Akif Ersoy University Social Sciences Institute Journal, (31), 220-239. DOI: 10.20875/makusobed.476524
Atan, S., & Öztürkci, Y. (2019). News and Reality Relationship: An Examination of News About a Public Institution. Karadeniz Technical University Social Sciences Institute Social Sciences Journal, (18), 359-371.
Atan, S. and Çınar, Y. (2019). Examining the Relationship Between Financial News and Market Value in Borsa Istanbul with Text Mining and Sentiment Analysis. Ankara University Faculty of Political Sciences Journal, 74(1), 1-32.
Atan, S. (2018). The Effect of News on Corporate Image and Analysis of News About Hospitals in Turkey in the Media with Text Mining. Communication Theory and Research Journal, 46(2), 223-240.
Atan, S. (2016). “Data, Big Data and Business”. Balıkesir University Social Sciences Journal, 19(35), 137-153.
Work in Progress
Under Review
- KNN, Naive Bayes and Decision Tree Machine Learning Algorithms, Usage Opportunities of These Algorithms in Social Sciences
In Preparation
- Text Mining as a Decision Making Tool (Article)
- NeAnAr: Turkish Network Analysis Tool (Article)
- Male or Female? Gender Prediction from Phonological Structure of Turkish Names with Machine Learning (Article)
- Media, Social Media and Readers During Coronavirus (Article)
Conference Presentations
National Conferences
Atan, S., Baskıcı, Ç. and Ercil, Y. (2017). Intellectual Structure Analysis of National Strategic Management Field. 25th National Management and Organization Congress, presented paper, Ankara: Başkent University. http://www.yonorg2017.org/docs/YonOrg2017-bildiri-kitabi.pdf
Öztürkci, Y. and Atan, S. News and Reality Relationship: An Examination of News About a Public Institution. Anatolia International Multidisciplinary Studies Congress, presented paper, Diyarbakır: International Academy of Sciences.
International Conferences
Baskici, C., Atan, S. and Ercil, Y. (2019). Studies in Social Networks Journal 2000-2019: the Intellectual Structure of Social Network Perspective. European Conference on Social Networks (EUSN 2019), presented paper, Zurich. https://indico2.conference4me.psnc.pl/event/3/contributions/235/
Baskici, C., Atan, S. and Ercil, Y. (2019). Forecasting of innovation in the light of semantic networks. 3rd World Conference on Technology, Innovation and Entrepreneurship (WOCTINE), presented paper.
Research Reports
Atan, S. (2014), “Using Promethee Method in Risk-Based Project Selection Under IPARD Program”, Ministry of Treasury Working Report.
Available at: https://www.hazine.gov.tr/ipard-programi-kapsaminda-riskli-proje-seciminde-promethee-metodunun-kullanilmasi
Citations & Academic Impact
Google Scholar Metrics
Total citations from national peer-reviewed journals: 12+
Google Scholar Profile: Click here
Research Impact Areas
- Text Mining and Sentiment Analysis
- Network Analysis Applications
- Data Science in Business
- Machine Learning in Healthcare
- Cloud Computing Strategies
Project Participation
Completed Research Projects with Non-University Public Institutions
TOBB Strategic Plan Preparation and Monitoring Project
Role: Research team member
ATO Corporate Transformation Project
Role: Data analysis specialist
Teaching Experience
University Courses
TED University - “Social Network Analysis” (Graduate Course)
Course Page: https://www.tedu.edu.tr/tr/suat-atan
Research Centers
TED University Applied Data Science Center
Contribution: Data science for social good projects
Postdoctoral Research
Università degli Studi di Torino, Italy
Duration: Completed
Location: Turin, Italy
Funding: Italian Government Scholarship
Department: Economics
Focus: Natural Language Processing and Data Science
Profile: https://www.est.unito.it/do/docenti.pl/Alias?suat.atan#tab-profilo
Research Interests
Primary Areas
- Text Mining & Sentiment Analysis
- Network Analysis & Social Networks
- Machine Learning in Business Applications
- Data Science Methodologies
- Financial Market Analysis
Emerging Interests
- AI Ethics in Business
- Multilingual Natural Language Processing
- Big Data Analytics
- Digital Transformation Strategies
Current Academic Score: ~106 points (including works under review)
For collaboration opportunities, research inquiries, or access to full papers, please contact through academic networks or the provided communication channels.