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Juuso Eronen

Juuso Eronen

Associate Professor

About Me

I am an Associate Professor at the Faculty of Engineering, Kitami Institute of Technology, and a member of the Text Information Processing Laboratory (TiP Lab). My research centers on natural language processing (NLP) and applied machine learning, focusing primarily on areas where I lead investigation:

  • Cross-Lingual Transfer Learning & Linguistic Similarity: Developing methods to predict and select optimal transfer languages based on linguistic and typological similarity, enabling effective zero-shot cross-lingual transfer learning for low-resource languages and neural machine translation.
  • Cyberbullying & Abusive Language Detection: Designing efficient machine learning models and linguistically grounded representations to identify online toxicity, cyberbullying, and abusive language, including feature density estimation to optimize classifier training.
  • Generative AI & LLMs in Education: Investigating the integration of large language models into higher education—specifically personalized English language education in Japan—fostering tailored learning, student engagement, and critical thinking skills.
  • Tourism Informatics: Applying transformer models and natural language processing to extract and evaluate inbound tourist motivations and travel behaviors from multilingual online reviews.

Prior to my academic career in Japan, I worked in industry as a Data Scientist at Alma Mediapartners in Finland, combining hands-on machine learning engineering with academic research.

Research Interests

Cross-lingual Transfer Learning · Linguistic Similarity · Low-Resource NLP · Cyberbullying & Abusive Language Detection · Large Language Models · Educational Technology · Tourism Informatics · Feature Density & Efficient ML

Research Areas

  • Informatics / Intelligent informatics (Natural Language Processing)
  • Informatics / Intelligent informatics

Experience

  • Apr 2026 – Present: Associate Professor, Faculty of Engineering, Kitami Institute of Technology
  • Apr 2023 – Mar 2026: Assistant Professor, Prefectural University of Kumamoto
  • Oct 2022 – Mar 2023: Postdoctoral Researcher, Kitami Institute of Technology
  • May 2017 – Feb 2020: Data Scientist, Alma Mediapartners Oy

Education

  • 2019–2022: Ph.D. in Engineering, Kitami Institute of Technology
  • 2016–2018: Master of Science in Technology (Data Engineering & Machine Learning), Tampere University of Technology
  • 2013–2016: Bachelor of Science in Technology (Communications Engineering), Tampere University of Technology

Publications

2026 (4)
  • Saeun Lee, Juuso Eronen, “Learner Perspectives on Generative AI Integration in Japanese English Education”, Education Sciences, 16(9), 1350, 2026. DOI
  • Juuso Eronen, Zhenzhen Liu, Michal Ptaszynski, Karol Nowakowski, Fumito Masui, “Exploring the Effects of Data Volume and Transfer-Language Choice on Transfer Learning with Application to Polish”, Electronics, May 2026. DOI
  • Kinga Lasek, Michal Ptaszynski, Fumito Masui, Mujahid Khalifah, Juuso Eronen, “Mapping Dialectal Landscape: A Sequence-to-Sequence Approach to Japanese Dialect-to-Standard Normalization”, Machine Learning and Knowledge Extraction, Apr 2026. DOI
  • Juuso Eronen, Michal Ptaszynski, Tomasz Wicherkiewicz, Robert Borges, Katarzyna Janic, Zhenzhen Liu, Tanjim Mahmud, Fumito Masui, “Language Models Are Polyglots: Language Similarity Predicts Cross-Lingual Transfer Learning Performance”, Machine Learning and Knowledge Extraction, Mar 2026. DOI
2025 (7)
  • Daichi Azuma, René Meléndez, Michal Ptaszynski, Fumito Masui, Lara Aslan, Juuso Eronen, “SVM, BERT, or LLM? A Comparative Study on Multilingual Instructed Deception Detection”, AI, Sep 2025. DOI
  • Zhenzhen Liu, Juuso Eronen, Fumito Masui, Michal Ptaszynski, “Chinese Tourist Motivations for Hokkaido, Japan: A Hybrid Approach Using Transformer Models and Statistical Methods”, Tourism and Hospitality, Jul 2025. DOI
  • N. S. A. B. N. Azmi, Michal Ptaszynski, Fumito Masui, Juuso Eronen, Karol Nowakowski, “Token and part-of-speech fusion for pretraining of transformers with application in automatic cyberbullying detection”, Natural Language Processing Journal, 10, 100132, 2025. DOI
  • Zhenzhen Liu, Juuso Eronen, Fumito Masui, Michal Ptaszynski, “Automated evaluation of tourism motivation from Chinese tourists in Japan using transformers”, Current Issues in Tourism, pp. 1–21, 2025. DOI
  • Saeun Lee, Juuso Eronen, “Transforming English education in Japan by utilizing large language models for tailored learning and diverse skill development”, Discover Education, 4(1), 403, 2025. DOI
  • Saeun Lee, Juuso Eronen, “Enhancing English Education in Japan: Integrating AI to foster Critical Thinking Skills and Personalized English Learning”, 熊本県立大学共通教育センター紀要, 4, pp. 47–58, 2025.
  • Saeun Lee, Juuso Eronen, “English Education in Japan with Generative AI: Insights from Students’ Perspective”, The Japan Association for Language Education & Technology (LET), 2025.
2024 (2)
  • Zhenzhen Liu, Michal Ptaszynski, Michal Karpinska, Juuso Eronen, Fumito Masui, “Initial exploration into sarcasm and irony through machine translation”, Natural Language Processing Journal, 9, 100106, 2024. DOI
  • Juuso Eronen, Saeun Lee, “Improving English Education in Japan: Leveraging Large Language Models for Personalized and Skill-Diverse Learning”, LaCATODA@ PRICAI, pp. 17–29, 2024.
2023 (5)
  • Tanjim Mahmud, Michal Ptaszynski, Juuso Eronen, Fumito Masui, “Cyberbullying Detection for Low-resource Languages and Dialects: Review of the State of the Art”, Information Processing and Management, 60(5), p. 103454, Aug 2023. DOI
  • Zhenzhen Liu, Fumito Masui, Juuso Eronen, Shun Terashita, Michal Ptaszynski, “A New Approach to Extracting Tourism Focus Points from Chinese Inbound Tourist Reviews after COVID-19”, Sustainability (Switzerland), 15(11), Jun 2023. DOI
  • Juuso Eronen, Michal Ptaszynski, Karol Nowakowski, Zheng Lin Chia, Fumito Masui, “Improving Polish to English Neural Machine Translation with Transfer Learning: Effects of Data Volume and Language Similarity”, CoRR, abs/2306.00660, Jun 2023. DOI
  • Juuso Eronen, Michal Ptaszynski, Fumito Masui, “Zero-shot cross-lingual transfer language selection using linguistic similarity”, Information Processing and Management, 60(3), p. 103250, Jan 2023. DOI
  • Juuso Eronen, Michal Ptaszynski, Fumito Masui, “Enhancing cross-lingual learning: Optimal transfer language selection with linguistic similarity”, Science Talks, 6, 2023. DOI
2022 (6)
  • Juuso Eronen, Michal Ptaszynski, Fumito Masui, “Comparing Performance of Different Linguistically-Backed Word Embeddings for Cyberbullying Detection”, CoRR, abs/2206.01950, Jun 2022. DOI
  • Juuso Eronen, Michal Ptaszynski, Fumito Masui, Gniewosz Leliwa, Michal Wroczynski, “Exploring the Potential of Feature Density in Estimating Machine Learning Classifier Performance with Application to Cyberbullying Detection”, CoRR, abs/2206.01949, pp. 5–14, Jun 2022. DOI
  • Juuso Eronen, Michal Ptaszynski, Fumito Masui, Gniewosz Leliwa, Michal Wroczynski, Mateusz Piech, Aleksander Smywinski-Pohl, “Initial Study into Application of Feature Density and Linguistically-backed Embedding to Improve Machine Learning-based Cyberbullying Detection”, CoRR, abs/2206.01889, Jun 2022. DOI
  • Juuso Eronen, Michal Ptaszynski, Fumito Masui, Masaki Arata, Gniewosz Leliwa, Michal Wroczynski, “Transfer Language Selection for Zero-Shot Cross-Lingual Abusive Language Detection”, Information Processing and Management, 59(4), p. 102981, Jun 2022. DOI
  • H. B. Barathi Ganesh, Michal Ptaszynski, René Meléndez, Juuso Eronen, “KIT-TIP-NLP at MultiPride: Continual Learning with Multilingual Foundation Model”, Working Notes of CLEF 2022, 2022.
  • 柴田 祥吾, プタシンスキ ミハウ, エロネン ユーソ, ノヴァコフスキ カロル, 桝井 文人, “日本語大規模ブログコーパス YACIS に基づいた ELECTRA 事前学習済み言語モデルの作成及び性能評価”, 言語処理学会 第28回年次大会 (NLP2022), 2022.
2021 (2)
  • Juuso Eronen, Michal Ptaszynski, Fumito Masui, Aleksander Smywiński-Pohl, Gniewosz Leliwa, Michal Wroczynski, “Improving Classifier Training Efficiency for Automatic Cyberbullying Detection with Feature Density”, Information Processing and Management, 58(5), p. 102616, Nov 2021. DOI
  • Michal Ptaszynski, Monika Zasko-Zielinska, Michal Marcinczuk, Gniewosz Leliwa, Marcin Fortuna, Kamil Soliwoda, Ida Dziublewska, Olimpia Hubert, Pawel Skrzek, Jan Piesiewicz, Paula Karbowska, Maria Dowgiallo, Juuso Eronen, Patrycja Tempska, Maciej Brochocki, Marek Godny, Michal Wroczynski, “Looking for razors and needles in a haystack: Multifaceted analysis of suicidal declarations on social media—a pragmalinguistic approach”, International Journal of Environmental Research and Public Health, 18(22), Nov 2021. DOI
2017 (1)
  • Michal Ptaszynski, Juuso Kalevi Kristian Eronen, Fumito Masui, “Learning Deep on Cyberbullying is Always Better Than Brute Force.”, Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 26th International Joint Conference on Artificial Intelligence (LaCATODA@IJCAI), 1926, pp. 3–10, 2017.

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