Researcher2Vec: 公的研究助成機関のための研究者のベクトル化

持橋 大地

doi:10.11487/oukan.2023.0_C-1-4

The 14th Conference on Transdisciplinary Science and Technology

Session ID : C-1

DOI https://doi.org/10.11487/oukan.2023.0_C-1-4

Conference information

Host: Transdisciplinary Federation of Science and Technology

Name : The 14th Conference on Transdisciplinary Science and Technology

Number : 14

Location : [in Japanese]

Date : December 16, 2023 - December 17, 2023

Researcher2Vec: Scholar Vectorization for Funding Agency

*D. Mochihashi

Author information

Keywords: Natural language processing, information retrieval, vector space models

CONFERENCE PROCEEDINGS OPEN ACCESS

Details

Abstract

To help various departments of funding agency from a statistical viewpoint, this paper describes our Researcher2Vec that efficiently represents expertise of each researcher in a low-dimensional vector space. It is mathematically defined rigorously to allow an efficient search of researchers who is most associated with a given keywords or a research proposal, and yields an objective visualization.

Corresponding author

Register with J-STAGE for free!