Economic Causal-Chain Search and Economic Indicator Prediction using Textual Data

no code implementations • FNP 2021 • Kiyoshi Izumi, Hitomi Sano, Hiroki Sakaji

Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis

no code implementations • 22 Feb 2024 • Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi, Hiroki Sakaji, Kiyoshi Izumi

Causality is fundamental in human cognition and has drawn attention in diverse research fields.

Domain Adaptation In-Context Learning

PAMS: Platform for Artificial Market Simulations

1 code implementation • 19 Sep 2023 • Masanori Hirano, Ryosuke Takata, Kiyoshi Izumi

This paper presents a new artificial market simulation platform, PAMS: Platform for Artificial Market Simulations.

Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets

no code implementations • 28 Apr 2022 • Masanori Hirano, Hiroki Sakaji, Kiyoshi Izumi

In some previous works, GANs for financial markets generated fake orders in continuous spaces because of GAN architectures' learning limitations.

Generative Adversarial Network

mhirano at the FinSBD Task: Pointwise Prediction Based on Multi-layer Perceptron for Sentence Boundary Detection

no code implementations • WS 2019 • Masanori Hirano, Hiroki Sakaji, Kiyoshi Izumi, Hiroyasu Matsushima

Boundary Detection Sentence

Economic Causal-Chain Search using Text Mining Technology

no code implementations • WS 2019 • Kiyoshi Izumi, Hiroki Sakaji

Financial Text Data Analytics Framework for Business Confidence Indices and Inter-Industry Relations

no code implementations • WS 2019 • Hiroki Sakaji, Ryota Kuramoto, Hiroyasu Matsushima, Kiyoshi Izumi, Takashi Shimada, Keita Sunakawa

Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model

no code implementations • 20 Jan 2019 • Kei Nakagawa, Tomoki Ito, Masaya Abe, Kiyoshi Izumi

Specifically, we extend the linear multi-factor model to be non-linear and time-varying with LSTM.

Management

Estimation of cross-lingual news similarities using text-mining methods

no code implementations • ICLR 2018 • Zhouhao Wang, Enda Liu, Hiroki Sakaji, Tomoki Ito, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita

Every second, innumerable text data, including all kinds news, reports, messages, reviews, comments, and twits have been generated on the Internet, which is written not only in English but also in other languages such as Chinese, Japanese, French and so on.

text similarity