| Contextual Sentiment Neural Network for Document Sentiment Analysis T Ito, K Tsubouchi, H Sakaji, T Yamashita, K Izumi Data Science and Engineering 5 (2), 180-192, 2020 | 40 | 2020 |
| Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model K Nakagawa, T Ito, M Abe, K Izumi arXiv preprint arXiv:1901.11493, 2019 | 32 | 2019 |
| Text-visualizing neural network model: understanding online financial textual data T Ito, H Sakaji, K Tsubouchi, K Izumi, T Yamashita Pacific-Asia Conference on Knowledge Discovery and Data Mining, 247-259, 2018 | 31 | 2018 |
| GINN: gradient interpretable neural networks for visualizing financial texts T Ito, H Sakaji, K Izumi, K Tsubouchi, T Yamashita International Journal of Data Science and Analytics 9 (4), 431-445, 2018 | 20 | 2018 |
| Word-Level Contextual Sentiment Analysis with Interpretability. T Ito, K Tsubouchi, H Sakaji, T Yamashita, K Izumi The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020) 34 …, 2020 | 16 | 2020 |
| Learning Company Embeddings from Annual Reports for Fine-grained Industry Characterization T Ito, JC Collados, H Sakaji, S Schockaert Proceedings of the Second Workshop on Financial Technology and Natural …, 2020 | 15 | 2020 |
| CSNN: Contextual Sentiment Neural Network T Ito, K Tsubouchi, H Sakaji, K Izumi, T Yamashita 2019 IEEE International Conference on Data Mining (ICDM), 1126-1131, 2019 | 7 | 2019 |
| Polarity propagation of financial terms for market trend analyses using news articles T Ito, K Izumi, K Tsubouchi, T Yamashita 2016 IEEE Congress on Evolutionary Computation (CEC), 3477-3482, 2016 | 6 | 2016 |
| JDD@ FinCausal 2020, Task 2: Financial Document Causality Detection T Imoto, T Ito Proceedings of the 1st Joint Workshop on Financial Narrative Processing and …, 2020 | 5 | 2020 |
| Development of sentiment indicators using both unlabeled and labeled posts T Ito, H Sakaji, K Izumi, K Tsubouchi, T Yamashita 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 5 | 2017 |
| Estimation of cross-lingual news similarities using text-mining methods Z Wang, E Liu, H Sakaji, T Ito, K Izumi, K Tsubouchi, T Yamashita Journal of Risk and Financial Management 11 (1), 8, 2018 | 4 | 2018 |
| 経済テキストデータを用いた極性概念辞書構築とその応用 伊藤友貴， 坪内孝太， 山下達雄， 和泉潔 第 18 回人工知能学会金融情報学研究会, 44-51, 2017 | 4 | 2017 |
| 金融におけるテキストマイニングと機械学習応用 鈴木智也， 中川慧， 伊藤友貴， 坂地泰紀 人工知能 36 (3), 270-278, 2021 | 3 | 2021 |
| Concept Cloud-Based Sentiment Visualization for Financial Reviews T Ito, K Tsubouchi, H Sakaji, T Yamashita, K Izumi The International Conference on Decision Economics, 183-191, 2019 | 3 | 2019 |
| テキスト情報から生成された極性辞書を用いた市場動向分析 伊藤友貴， 坪内孝太， 山下達雄， 和泉潔 人工知能学会全国大会論文集 第 31 回全国大会 (2017), 2D21-2D21, 2017 | 3 | 2017 |
| SSNN: Sentiment Shift Neural Network T Ito, K Tsubouch, H Sakaji, T Yamashita, K Izumi Proceedings of the 2020 SIAM International Conference on Data Mining, 262-270, 2020 | 2 | 2020 |
| Extraction of Business Contents from Financial Reports Using Recurrent Neural Network Model T Ito, H Sakaji, K Izumi 人工知能学会全国大会論文集 第 33 回全国大会 (2019), 4Rin125-4Rin125, 2019 | 2 | 2019 |
| Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries T Ito, H Sakaji, K Izumi, K Tsubouchi, T Yamashita 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 1122-1131, 2017 | 2 | 2017 |
| 金融テキストマイニングの最新技術動向 (特集 AI の金融応用 (実践編)) 和泉潔， 坂地泰紀， 伊藤友貴， 伊藤諒 証券アナリストジャーナル= Securities analysts journal 55 (10), 28-36, 2017 | 2 | 2017 |
| 機械が読む英文開示 中川慧， 伊藤友貴 企業会計= Accounting 75 (3), 339-348, 2023 | 1 | 2023 |
Kiyoshi IzumiThe University of TokyoVerified email at sys.t.u-tokyo.ac.jp
