[3Xin2] Poster session 1

[3Xin2-110] Extraction and Analysis of research objectives, machine learning model names, and dataset names from academic papers using LLM and network anaysis

〇Sayaka Nishio¹, Hirofumi Nonaka¹, Teruaki Hayashi², Hiroki Sakaji³, Takeshi Sakumoto⁴ (1.Aichi Institute of Technology, 2.University of Tokyo, 3.Hokkaido University, 4.Nagaoka University of Technology)

Keywords:Knowledge Extracting, Model/Dataset Recomendation, Resarch Trend Analysis, Quantitative Finance, Data Distribution

In this study, we propose a methodology extracting tasks, machine learning methods, and dataset names from scientific papers and analyzoing the relationships between these information.