...

Masahiro Suzuki

Nikko Asset Management Co., Ltd.
Mail : b2019msuzuki [at] socsim.org
: Masahiro-Suzuki-11
: 0000-0001-8519-5617
: github.com/retarfi
: linkedin.com/in/msuzuki7/

Self-introduction

Research Area: Text Mining, Natural Language Processing

Programming language frequently used : Python

Student member of the Association for Natural Language Processing

Student member of the Japanese Society for Artificial Intelligence

Biography

2022/04 - :   Working at Nikko Asset Management Co., Ltd.

2020/04 - 2022/03 :   Studied at Izumi Lab., Department of Systems Innovation, School of Engineering, The University of Tokyo

2019/05 - 2020/03 :   Researched at Izumi Lab., Faculty of Engineering

2018/04 - 2020/03 :   Studied at Systems Design & Management Course, Department of Systems Innovation, Faculty of Engineering

2016/04 - 2018/03 :   Studied at Natural Sciences I, College of Arts and Sciences (Junior Division)

2015/04 - 2016/03 :   Department of Industrial and Systems Engineering, Faculty of Science and Engineering, Keio University

2009/04 - 2015/03 :   Senior & Junior High School at Komaba, University of Tsukuba

1996/09 :   Born in Tokyo, Japan

Public resources

  • Japanese pre-training program of BERT and ELECTRA (github.com/retarfi/language-pretraining)
    Pre-training models for BERT and ELECTRA, using the Japanese Wikipedia and financial domains as corpora. Wikipedia and financial models are available in the Transformers natural language processing library, respectively (huggingface.co/izumi-lab).

Papers

Publication (Refreed)

  • Forecasting Stock Price Trends by Analyzing Economic Reports with Analyst Profiles
    Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi and Yasushi Ishikawa.
    Frontiers in Artificial Intelligence in Finance, 2022.
    Frontiersbib
  • Forecasting Net Income Estimate and Stock Price Using Text Mining from Economic Reports
    Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, Hiroyasu Matsushima and Yasushi Ishikawa. Information (MDPI), 2020.
    MDPIbib (Cover Story of the journal)

International Conference (Refreed)

  1. Market Trend Analysis Using Polarity Index Generated from Analyst Reports
    Rei Taguchi, Hikaru Watanabe, Masanori Hirano, Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, and Kenji Hiramatsu.
    2021 IEEE International Conference on Big Data (Big Data), 2021.
    IEEEbib
  2. Stock Price Analysis Using Combination of Analyst Reports and Several Documents
    Masahiro Suzuki, Toshiya Katagi, Hiroki Sakaji, Kiyoshi Izumi and Yasushi Ishikawa.
    2019 International Conference on Data Mining Workshops (ICDMW), 2019.
    (Best Paper Award)
    IEEEbib

Domestic Conference (Non-Refreed) / Other

  1. Construction and Validation of Additional Pre-Training Language Model using Financial Documents (in Japanese)
    Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, and Yasushi Ishikawa.
    28th Annual Meeting of the Association for Natural Language Processing (NLP), 2022.
    paperdetail (in Japanese)
  2. Construction and Validation of a Pre-Training and Additional Pre-Training Financial Language Model (in Japanese)
    Masahiro Suzuki, Hiroki Sakaji, Masanori Hirano, and Kiyoshi Izumi.
    The 28th meeting of Special Interest Group on Financial Informatics of Japanese Society for Artificial Intelligence (SIG-FIN), 2022.
    paperdetail (in Japanese)
  3. Stock Price Movement Forecast Considering the Time-series of Analyst Reports (in Japanese)
    Masahiro Suzuki, Hiroki Saskaji, Kiyoshi Izumi, and Yasushi Ishikawa.
    Workshop of Social System and Information Technology (WSSIT2022), 2022.
    paperdetail (in Japanese)
  4. Construction and Validation of a Pre-Trained Language Model Using Financial Documents (in Japanese)
    Masahiro Suzuki, Hiroki Sakaji, Masanori Hirano, and Kiyoshi Izumi.
    The 27th meeting of Special Interest Group on Financial Informatics of Japanese Society for Artificial Intelligence (SIG-FIN), 2021.
    paperdetail (in Japanese)
  5. Market Causality Analysis Using Polarity Indicators Generated from Financial Texts (in Japanese),
    Rei Taguchi, Hikaru Watanabe, Masanori Hirano, Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, Kenji Hiramatsu
    The 27th meeting of Special Interest Group on Financial Informatics of Japanese Society for Artificial Intelligence (SIG-FIN), Online, October 9th, 2021.
    paperdetail (in Japanese)
  6. Performance Verification of Pre-Trained BERT Models in the Financial Domain (in Japanese)
    Masahiro Suzuki, Hiroki Sakaji, Masanori Hirano, and Kiyoshi Izumi.
    The 18th Text Analytics Symposium (NLC), 2021.
    IEICEbib
  7. Towards a Pre-Trained BERT Model for the Financial Domain (in Japanese)
    Masahiro Suzuki, Hiroki Sakaji, Masanori Hirano, and Kiyoshi Izumi.
    16th Symposium of Young Researcher Association for NLP Studies (YANS), 2021.
  8. Net Income Forecast from Analyst Reports by Text Mining (in Japanese)
    Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi, Hiroyasu Matsushima, and Yasushi Ishikawa.
    The 34th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI), 2020.
    J-STAGEbib
  9. Stock Price Movement Forecast from Analyst Reports by Text Mining (in Japanese)
    Masahiro Suzuki, Toshiya Katagi, Hiroki Sakaji, Kiyoshi Izumi, and Yasushi Ishikawa.
    26th Annual Meeting of the Association for Natural Language Processing (NLP), pp. 307-310, Ibaraki, Japan Online, March, 2020.
    paperdetail (in Japanese)

Awards

Scholarship
  • 2020/04 :   TOYOTA/Dwango AI Scholarship (1 year: 1,200,000 yen / Approx. 11,000 USD)
  • 2020/04 :   JEES / SoftBank AI Human Resources Development Scholarship (1 year: 1,000,000 yen / Approx. 9,000 USD)
Academic

Others

  • The University of Tokyo Golf Team website 2018 production