Barmpounis Epameinondas-Konstantinos, 2022. “Computational analysis of Greek Parliamentary Minutes of the period 1946-1947”. MSc Thesis, Digital Methods for the Humanities (link)
Peteinou Eleni, 2022. “Toxicity classification for the detection of ageism on social media”. MSc Thesis, Digital Methods for the Humanities (link)
Anagnostopoulos Theodore, 2021. “Toxicity detection on Greek tweets”. MSc Thesis, Data Science (link).
Papadatos Emmanouil, 2021. “Text classification to automatically detect hazards in foods from official announcements and social media”. MSc thesis, Data Science (link)
Liagkou Konstantina, 2021. “Brand cannibalisation”. MSc Thesis, Data Science (link).
Ormyliotou Georgia, 2021. “Brand-based sentiment analysis”. MSc Thesis, Data Science (link).
Jimenéz Enrique Javier Cobo and Rigobello Ronaldo Soares, 2021. “Explainability Techniques to Locate and Correct Grammatical Errors”, Degree project at the master level, Department of Computer and Systems Sciences, Stockholm University (pdf).
Sjöstedt Nadia, 2021. “Explaining the Predictions of Text Toxicity Classifiers”, Degree project at the master level, Department of Computer and Systems Sciences, Stockholm University (pdf).
Paparrigopoulou Asimina, 2021. “Chronological Attribution of Papyri Using Machine Learning”, MS Thesis, Digital Methods for The Humanities, Athens University of Economics and Business (pdf).
Xenos Alexandros, 2021. “Conversational Context in Toxicity Detection”, MSc Thesis, Computer Science, Department of Informatics, Athens University of Economics and Business (pdf).
Karatzas Vasilis, 2021. “Exploring Diagnostic Captioning Methods”, MSc Thesis, Department of Informatics, Computer Science, Athens University of Economics and Business (pdf)
Marina Thalassinou-Lislevand, 2020. “Emotion Classification on Greek Tweets“, MSc Thesis, Data Science (pdf).
Fasoi Maria, 2020. “Language Modelling for Authorship Attribution In Homeric Texts”, MSc Thesis, Digital Methods for the Humanities (slides).
Stroumbouli Eleytheria, 2020. “Error Detection in English and Greek texts written by foreign learners“, MSc Thesis, Digital Methods for the Humanities (pdf).
Korre Katerina, 2020. “Using Predictive Text for Grammatical Error Correction in Second Language Learning”. MSc Thesis, Digital Methods for the Humanities (pdf, slides).
Undergraduate students interested in undertaking a thesis under my supervision should: (a) have an average grade of 7.5 or more; (b) have a grade of 8 or more in courses of programming, mathematics, AI, Applied Data Science (or attend the course), Machine Learning (or attend the course); (c) be able to attend (BSc or MSc) courses that relate to the topic of the thesis.