Hiroki Sakaji

Orcid: 0000-0001-5030-625X

According to our database1, Hiroki Sakaji authored at least 93 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Enhancing Risk Identification with GNN: Edge Classification in Risk Causality from Securities Reports.
Int. J. Inf. Manag. Data Insights, 2024

Economy Watchers Survey provides Datasets and Tasks for Japanese Financial Domain.
CoRR, 2024

JaFIn: Japanese Financial Instruction Dataset.
CoRR, 2024

Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis.
CoRR, 2024

Metadata-Based Clustering and Selection of Metadata Items for Similar Dataset Discovery and Data Combination Tasks.
IEEE Access, 2024

LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Constructing Sentiment Signal-Based Asset Allocation Method with Causality Information.
New Gener. Comput., November, 2023

Financial Causality Extraction Based on Universal Dependencies and Clue Expressions.
New Gener. Comput., November, 2023

Constructing and analyzing domain-specific language model for financial text mining.
Inf. Process. Manag., 2023

JMedLoRA: Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuning.
CoRR, 2023

llm-japanese-dataset v0: Construction of Japanese Chat Dataset for Large Language Models and Its Methodology.
Proceedings of the Advances in Networked-based Information Systems, 2023

Extraction SDGs-related sentences from Sustainability Reports using BERT and ChatGPT.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Summarization of Investment Reports Using Pre-trained Model.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets.
Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models.
Proceedings of the IEEE International Conference on Big Data, 2023

Indexing and Visualization of Climate Change Narratives Using BERT and Causal Extraction.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
STBM+: Advanced Stochastic Trading Behavior Model for Financial Markets using Residual Blocks or Transformers.
New Gener. Comput., 2022

Extraction and classification of risk-related sentences from securities reports.
Int. J. Inf. Manag. Data Insights, 2022

Constructing Equity Investment Strategies Using Analyst Reports and Regime Switching Models.
Frontiers Artif. Intell., 2022

Forecasting Stock Price Trends by Analyzing Economic Reports With Analyst Profiles.
Frontiers Artif. Intell., 2022

Graph Representation Learning of Banking Transaction Network with Edge Weight-Enhanced Attention and Textual Information.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Models of Exchanged Datasets and Interactions of Buyers in the Data Market: Toward Multi-Agent Simulators for System Design.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

Proposal for Turning Point Detection Method Using Financial Text and Transformer.
Proceedings of the New Frontiers in Artificial Intelligence, 2022

Transaction Prediction by Using Graph Neural Network and Textual Industry Information.
Proceedings of the New Frontiers in Artificial Intelligence, 2022

Investment Strategy via Lead Lag Effect using Economic Causal Chain and SSESTM Model.
Proceedings of the 12th International Congress on Advanced Applied Informatics, 2022

Concept and Practice of Artificial Market Data Mining Platform.
Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022

SETN: Stock Embedding Enhanced with Textual and Network Information.
Proceedings of the IEEE International Conference on Big Data, 2022

SSAAM: Sentiment Signal-based Asset Allocation Method with Causality Information.
Proceedings of the IEEE International Conference on Big Data, 2022

Gradual Further Pre-training Architecture for Economics/Finance Domain Adaptation of Language Model.
Proceedings of the IEEE International Conference on Big Data, 2022

A Model of Pricing Data and Their Constituent Variables Traded in Two-Sided Markets with Resale: A Subject Experiment.
Proceedings of the IEEE International Conference on Big Data, 2022

Bilateral Trade Flow Prediction by Gravity-informed Graph Auto-encoder.
Proceedings of the IEEE International Conference on Big Data, 2022

Implementation of Actual Data for Artificial Market Simulation.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Centralized Versus Decentralized Digital Identity Architectures: Simulation Models of Data Exchange.
Proceedings of the Symposium How Fair is Fair? Achieving Wellbeing AI co-located with Association for the Advancement of Artificial Intelligence 2022 Spring Symposium (AAAI-Spring Symposium 2022), 2022

2021
Data Combination for Problem-Solving: A Case of an Open Data Exchange Platform.
Rev. Socionetwork Strateg., 2021

Market Trend Analysis Using Polarity Index Generated from Analyst Reports.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Retrieving of Data Similarity using Metadata on a Data Analysis Competition Platform.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Growing Process of Communities on Data Platforms: Case Analysis of a COVID-19 Dataset.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Comparing Actual and Simulated HFT Traders' Behavior for Agent Design.
J. Artif. Soc. Soc. Simul., 2020

Forecasting Net Income Estimate and Stock Price Using Text Mining from Economic Reports.
Inf., 2020

GINN: gradient interpretable neural networks for visualizing financial texts.
Int. J. Data Sci. Anal., 2020

Contextual Sentiment Neural Network for Document Sentiment Analysis.
Data Sci. Eng., 2020

SSNN: Sentiment Shift Neural Network.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Implementation of Real Data for Financial Market Simulation Using Clustering, Deep Learning, and Artificial Financial Market.
Proceedings of the PRIMA 2020: Principles and Practice of Multi-Agent Systems, 2020

STBM: Stochastic Trading Behavior Model for Financial Markets.
Proceedings of the Advances in Artificial Intelligence, 2020

Estimating Manufacturing Activity via Machine Learning Analysis of High-frequency Electricity Demand Patterns.
Proceedings of the 9th International Congress on Advanced Applied Informatics, 2020

Verification of Data Similarity using Metadata on a Data Exchange Platform.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Word-Level Contextual Sentiment Analysis with Interpretability.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
File Assignment Control for a Web System of Contents Categorization.
Trans. Comput. Collect. Intell., 2019

Chain bankruptcy size in inter-bank networks: the effects of asset price volatility and the network structure.
J. Comput. Soc. Sci., 2019

Related Stocks Selection with Data Collaboration Using Text Mining.
Inf., 2019

Enriching folksonomy for online videos.
Int. J. Grid Util. Comput., 2019

Chain Bankruptcy Simulation Considering Investment from Banks to Companies.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Card Price Prediction of Trading Cards Using Machine Learning Methods.
Proceedings of the Advances in Networked-based Information Systems, 2019

Segment Information Extraction from Financial Annual Reports Using Neural Network.
Proceedings of the Advances in Artificial Intelligence, 2019

Economic Causal-Chain Search Using Text Mining Technology.
Proceedings of the Artificial Intelligence. IJCAI 2019 International Workshops, 2019

Analysis of the Macroeconomic Uncertainty Based on the News-based Textual Data with Financial Market.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

The Extraction of the Future-Oriented Sentences from Annual Reports.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

Extraction of Characteristic Terms from Patent Documents for Technical Trend Analysis.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

Extraction of Relationship between Japanese and US Interest Rates using Machine Learning Methods.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

Economic Causal Chain and Predictable Stock Returns.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

Effectiveness of Uncertainty Consideration in Neural-Network-Based Financial Forecasting.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019

Stock Price Analysis Using Combination of Analyst Reports and Several Documents.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Extraction of Volitional Utterances from Japanese Local Political Corpus.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

CSNN: Contextual Sentiment Neural Network.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Extraction of Focused Topic and Sentiment of Financial Market by using Supervised Topic Model for Price Movement Prediction.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

Japanese long-term interest rate forecast considering the connection between the Japanese and US yield curve.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

Short-term Stock Price Prediction by Analysis of Order Pattern Images.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

Word-level Sentiment Visualizer for Financial Documents.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

Forecasting Crypto-Asset Price Using Influencer Tweets.
Proceedings of the Advanced Information Networking and Applications, 2019

Improving Document Similarity Calculation Using Cosine-Similarity Graphs.
Proceedings of the Advanced Information Networking and Applications, 2019

Estimation of Tags Using Various Data for Online Videos.
Proceedings of the Advanced Information Networking and Applications, 2019

2018
Web-based system for Japanese local political documents.
Int. J. Web Inf. Syst., 2018

Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Selection of Related Stocks using Financial Text Mining.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

A Parallel Calculation Method on Web Browser for Contents Categorization.
Proceedings of the 32nd International Conference on Advanced Information Networking and Applications Workshops, 2018

2017
Discovery of rare causal knowledge from financial statement summaries.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Extraction of sentences concerning business performance forecast and economic forecast from summaries of financial statements by deep learning.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Development of sentiment indicators using both unlabeled and labeled posts.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Extracting Laboratory Front Pages from University Websites.
Proceedings of the Advances in Network-Based Information Systems, 2017

A Web-Based Visualization System for Interdisciplinary Research Using Japanese Local Political Corpus.
Proceedings of the Advances in Network-Based Information Systems, 2017

A Topic Trend on P2P Based Social Media.
Proceedings of the Advances in Network-Based Information Systems, 2017

A Method for Extracting Correct Links from Automatic Created Links on Folksonomy.
Proceedings of the Advances in Network-Based Information Systems, 2017

Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

A Distributed Calculation Scheme for Contents Categorization.
Proceedings of the 31st IEEE International Conference on Advanced Information Networking and Applications, 2017

2016
Extraction of polarity comments from Nico Nico Douga.
Int. J. Space Based Situated Comput., 2016

Estimation of Tags via Comments on Nico Nico Douga.
Proceedings of the 19th International Conference on Network-Based Information Systems, 2016

Creating Japanese Political Corpus from Local Assembly Minutes of 47 prefectures.
Proceedings of the 12th Workshop on Asian Language Resources, 2016

2015
Extracting Polarity Comments from Nico Nico Douga.
Proceedings of the 18th International Conference on Network-Based Information Systems, 2015

Classification of Comments on Nico Nico Douga for Annotation Based on Referred Contents.
Proceedings of the 18th International Conference on Network-Based Information Systems, 2015

2010
NTCIR-8 Patent Mining Task at Toyohashi University of Technology.
Proceedings of the 8th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2010

2008
Extracting Causal Knowledge Using Clue Phrases and Syntactic Patterns.
Proceedings of the Practical Aspects of Knowledge Management, 7th International Conference, 2008

Automatic Extraction of Basis Expressions That Indicate Economic Trends.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008


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