Kahyun Choi
Computer Science · Indiana University
Publications
36
Citations
223
Est. group size
—
Recurring co-author estimate
Active years
61
Publishing since 1965
Kahyun Choi works at the intersection of music, text analysis, and computing, developing methods to automatically understand song lyrics, poetry, and music-related content. Recent work applies natural language processing and large language models to tasks such as classifying music by mood or subject, analyzing themes in poetry, and studying how generative AI tools are used in language teaching.
After a quieter period around 2020-2022, publication activity has grown noticeably in recent years, averaging about two papers per year over the last five years with three to four per year most recently.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Exploring the use of Generative Artificial Intelligence (GenAI) in English language teaching: Voices from in-service teachers at an early-adopting Hong Kong secondary school
Technology in Language Teaching & Learning · 2025
- An analysis of poet demographic and thematic diversity in a poetry collection for inclusive AI
Information Research an international electronic journal · 2025
- Exploring the use of Generative Artificial Intelligence (GenAI) in English language teaching: Voices from in-service teachers at an early-adopting Hong Kong secondary school
Technology in Language Teaching & Learning · 2025
- A Comparative Analysis of Poetry Reading Audio: Singing, Narrating, or Somewhere in Between?
2024
- Word Embedding-Based Text Complexity Analysis
Lecture notes in computer science · 2024
- LyCon: Lyrics Reconstruction from the Bag-of-Words Using Large Language Models
arXiv (Cornell University) · 2024
- Computational Thematic Analysis of Poetry via Bimodal Large Language Models
Proceedings of the Association for Information Science and Technology · 2023
- Motor-effector dependent modulation of sensory-motor processes identified by the multivariate pattern analysis of EEG activity
Scientific Reports · 2023
- Bimodal Music Subject Classification via Context-Dependent Language Models
Lecture notes in computer science · 2021
- A Trend Analysis on Concreteness of Popular Song Lyrics
2019
- Exploratory Investigation of Word Embedding in Song Lyric Topic Classification
2018
- Computational lyricology: Quantitative approaches to understanding song lyrics and their interpretations
IDEALS (University of Illinois Urbana-Champaign) · 2018
- Exploring the Music Library Association Mailing List: A Text Mining Approach
Research Commons (University of Waikato) · 2017
- Cross-cultural aspects of perceptual features in K-pop: A pilot study comparing Chinese and Swedish listeners
The Journal of the Abraham Lincoln Association · 2017
- A framework for evaluating multimodal music mood classification
Journal of the Association for Information Science and Technology · 2016
- Proceedings of the Association for Information Science and Technology×3
- Technology in Language Teaching & Learning×2
- Lecture notes in computer science×2
- Journal of the Association for Information Science and Technology×1
- Information Research an international electronic journal×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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