| Constructing and analyzing domain-specific language model for financial text mining M Suzuki, H Sakaji, M Hirano, K Izumi Information Processing & Management 60 (2), 103194, 2023 | 51 | 2023 |
| Forecasting Net Income Estimate and Stock Price Using Text Mining from Economic Reports M Suzuki, H Sakaji, K Izumi, H Matsushima, Y Ishikawa Information 11 (6), 292, 2020 | 22 | 2020 |
| From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models M Suzuki, M Hirano, H Sakaji 2023 IEEE International Conference on Big Data (BigData), 5684-5693, 2023 | 11 | 2023 |
| 事前学習と追加事前学習による金融言語モデルの構築と検証 鈴木雅弘， 坂地泰紀， 平野正徳， 和泉潔 人工知能学会第二種研究会資料 2022 (FIN-028), 132, 2022 | 9* | 2022 |
| llm-japanese-dataset v0: construction of japanese chat dataset for large language models and its methodology M Hirano, M Suzuki, H Sakaji International Conference on Network-Based Information Systems, 442-454, 2023 | 8 | 2023 |
| JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuning I Sukeda, M Suzuki, H Sakaji, S Kodera arXiv preprint arXiv:2310.10083, 2023 | 7 | 2023 |
| 金融文書を用いた事前学習言語モデルの構築と検証 鈴木雅弘， 坂地泰紀， 平野正徳， 和泉潔 人工知能学会第二種研究会資料 2021 (FIN-027), 05, 2021 | 7 | 2021 |
| Forecasting Stock Price Trends by Analyzing Economic Reports with Analyst Profiles M Suzuki, H Sakaji, K Izumi, Y Ishikawa Frontiers in Artificial Intelligence, 89, 2022 | 6 | 2022 |
| Market trend analysis using polarity index generated from analyst reports R Taguchi, H Watanabe, M Hirano, M Suzuki, H Sakaji, K Izumi, ... 2021 IEEE International Conference on Big Data (Big Data), 3486-3494, 2021 | 6 | 2021 |
| Is ChatGPT the future of causal text mining? A comprehensive evaluation and analysis T Takayanagi, M Suzuki, R Kobayashi, H Sakaji, K Izumi 2024 IEEE International Conference on Big Data (BigData), 6651-6660, 2024 | 3 | 2024 |
| Development and analysis of medical instruction-tuning for Japanese large language models I Sukeda, M Suzuki, H Sakaji, S Kodera Artificial Intelligence in Health 1 (2), 107-116, 2024 | 3 | 2024 |
| Jafin: Japanese financial instruction dataset K Tanabe, M Suzuki, H Sakaji, I Noda 2024 IEEE Symposium on Computational Intelligence for Financial Engineering …, 2024 | 2 | 2024 |
| Economy Watchers Survey provides Datasets and Tasks for Japanese Financial Domain M Suzuki, H Sakaji arXiv preprint arXiv:2407.14727, 2024 | 2 | 2024 |
| FinDeBERTaV2: 単語分割フリーな金融事前学習言語モデル 鈴木雅弘， 坂地泰紀， 平野正徳， 和泉潔 人工知能学会論文誌 39 (4), FIN23-G_1-14, 2024 | 2* | 2024 |
| テキストマイニングによるアナリストレポートを用いた株価動向予測 鈴木雅弘， 堅木聖也， 坂地泰紀， 和泉潔， 石川康 言語処理学会第 26 回年次大会発表論文集, 307-310, 2020 | 2 | 2020 |
| Stock price analysis using combination of analyst reports and several documents M Suzuki, T Katagi, H Sakaji, K Izumi, Y Ishikawa 2019 International Conference on Data Mining Workshops (ICDMW), 30-36, 2019 | 2 | 2019 |
| Sentiment works in small-cap stocks: Japanese stock’s sentiment with language models M Suzuki, Y Ishikawa, M Teraguchi, H Sakaji International Journal of Information Management Data Insights 5 (1), 100318, 2025 | 1 | 2025 |
| 会社四季報のセンチメントを用いた株式銘柄選定の試み 鈴木雅弘 人工知能学会全国大会論文集 第 38 回 (2024), 2I6GS1001-2I6GS1001, 2024 | 1 | 2024 |
| Gradual further pre-training architecture for economics/finance domain adaptation of language model H Sakaji, M Suzuki, K Izumi, H Mitsugi 2022 IEEE International Conference on Big Data (Big Data), 2352-2355, 2022 | 1 | 2022 |
| 金融文書を用いた追加事前学習言語モデルの構築と検証 鈴木雅弘， 坂地泰紀， 和泉潔， 石川康 言語処理学会 第 28 回年次大会 (NLP2022), 588-592, 2022 | 1 | 2022 |
Hiroki SakajiHokkaido UniversityПідтверджена електронна адреса в ist.hokudai.ac.jp
