| 2024 | WWW | Tender Document Analyzer with the Combination of Supervised Learning and LLM-based Improver. | Tomoki Ito, Shun Nakagawa |
| 2020 | AAAI | Word-Level Contextual Sentiment Analysis with Interpretability. | Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi |
| 2020 | SDM | SSNN: Sentiment Shift Neural Network. | Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi |
| 2019 | ICDM | CSNN: Contextual Sentiment Neural Network. | Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Kiyoshi Izumi, Tatsuo Yamashita |
| 2018 | PAKDD | Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data. | Tomoki Ito, Hiroki Sakaji, Kota Tsubouchi, Kiyoshi Izumi, Tatsuo Yamashita |
| 2017 | ICDM | Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries. | Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita |
| 2016 | CEC | Polarity propagation of financial terms for market trend analyses using news articles. | Tomoki Ito, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita |