2 citations · 6 across the 11 of their papers we have counts for
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cs.CL2024★ 2 cited
SETN: Stock Embedding Enhanced with Textual and Network Information
Takehiro Takayanagi, Hiroki Sakaji, Kiyoshi Izumi
Stock embedding is a method for vector representation of stocks. There is a growing demand for vector representations of stock, i.e., stock embedding, in wealth management sectors,…
cs.CL2024★ 1 cited
Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis
Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi +2
Causality is fundamental in human cognition and has drawn attention in diverse research fields. With growing volumes of textual data, discerning causalities within text data is cru…