AI-based assessment of ESG scores using natural language processing

Zhixiong Chen, Kohei Sugiyama, Kazuyuki Tasaka, Tomomi Kito, Yukihiro Yasuda

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Original language	English
Title of host publication	Proceedings of the 2022 JFA-PBFJ Special Issue Conference
Publisher	Japan Finance Association
Publication status	Published - 2022
MoE publication type	A4 Article in a conference publication
Event	JFA-PBFJ Special Issue Conference: Japanese Financial Market - Virtual Duration: 14 Mar 2022 → 15 Mar 2022

Conference	JFA-PBFJ Special Issue Conference
Period	14/03/22 → 15/03/22

Cite this

@inproceedings{e764125fae8e43ab9c193c78bb0b61f1,

title = "AI-based assessment of ESG scores using natural language processing",

author = "Zhixiong Chen and Kohei Sugiyama and Kazuyuki Tasaka and Tomomi Kito and Yukihiro Yasuda",

year = "2022",

language = "English",

booktitle = "Proceedings of the 2022 JFA-PBFJ Special Issue Conference",

publisher = "Japan Finance Association",

address = "Japan",

note = "JFA-PBFJ Special Issue Conference : Japanese Financial Market ; Conference date: 14-03-2022 Through 15-03-2022",

}

TY - GEN

T1 - AI-based assessment of ESG scores using natural language processing

AU - Chen, Zhixiong

AU - Sugiyama, Kohei

AU - Tasaka, Kazuyuki

AU - Kito, Tomomi

AU - Yasuda, Yukihiro

PY - 2022

Y1 - 2022

M3 - Conference article in proceedings

BT - Proceedings of the 2022 JFA-PBFJ Special Issue Conference

PB - Japan Finance Association

T2 - JFA-PBFJ Special Issue Conference

Y2 - 14 March 2022 through 15 March 2022

ER -