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Hiroki Sakaji
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2020 – today
- 2024
- [j20]Takeshi Sakumoto
, Teruaki Hayashi
, Hiroki Sakaji, Hirofumi Nonaka:
Metadata-Based Clustering and Selection of Metadata Items for Similar Dataset Discovery and Data Combination Tasks. IEEE Access 12: 40213-40224 (2024) - [j19]Hajime Sasaki
, Motomasa Fujii, Hiroki Sakaji, Shigeru Masuyama:
Enhancing Risk Identification with GNN: Edge Classification in Risk Causality from Securities Reports. Int. J. Inf. Manag. Data Insights 4(1): 100217 (2024) - [c69]Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji:
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction. ACL (Findings) 2024: 3120-3131 - [i9]Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi, Hiroki Sakaji, Kiyoshi Izumi:
Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis. CoRR abs/2402.14484 (2024) - [i8]Kota Tanabe, Masahiro Suzuki, Hiroki Sakaji, Itsuki Noda:
JaFIn: Japanese Financial Instruction Dataset. CoRR abs/2404.09260 (2024) - [i7]Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji:
LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction. CoRR abs/2406.10811 (2024) - [i6]Masahiro Suzuki, Hiroki Sakaji:
Economy Watchers Survey provides Datasets and Tasks for Japanese Financial Domain. CoRR abs/2407.14727 (2024) - 2023
- [j18]Masahiro Suzuki
, Hiroki Sakaji
, Masanori Hirano
, Kiyoshi Izumi:
Constructing and analyzing domain-specific language model for financial text mining. Inf. Process. Manag. 60(2): 103194 (2023) - [j17]Rei Taguchi
, Hiroki Sakaji, Kiyoshi Izumi, Yuri Murayama:
Constructing Sentiment Signal-Based Asset Allocation Method with Causality Information. New Gener. Comput. 41(4): 777-794 (2023) - [j16]Hiroki Sakaji
, Kiyoshi Izumi:
Financial Causality Extraction Based on Universal Dependencies and Clue Expressions. New Gener. Comput. 41(4): 839-857 (2023) - [c68]Hiroki Sakaji, Noriyasu Kaneda:
Indexing and Visualization of Climate Change Narratives Using BERT and Causal Extraction. IEEE Big Data 2023: 5674-5683 - [c67]Masahiro Suzuki
, Masanori Hirano, Hiroki Sakaji:
From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models. IEEE Big Data 2023: 5684-5693 - [c66]Masanori Hirano
, Hiroki Sakaji, Kiyoshi Izumi:
Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets. IIAI-AAI 2023: 361-368 - [c65]Hiroki Sakaji, Ryotaro Kobayashi, Kiyoshi Izumi, Hiroyuki Mitsugi, Wataru Kuramoto:
Summarization of Investment Reports Using Pre-trained Model. IIAI-AAI 2023: 554-559 - [c64]Shingo Sashida, Kiyoshi Izumi, Hiroki Sakaji:
Extraction SDGs-related sentences from Sustainability Reports using BERT and ChatGPT. IIAI-AAI 2023: 742-745 - [c63]Masanori Hirano
, Masahiro Suzuki
, Hiroki Sakaji:
llm-japanese-dataset v0: Construction of Japanese Chat Dataset for Large Language Models and Its Methodology. NBiS 2023: 442-454 - [i5]Masanori Hirano
, Masahiro Suzuki
, Hiroki Sakaji:
llm-japanese-dataset v0: Construction of Japanese Chat Dataset for Large Language Models and its Methodology. CoRR abs/2305.12720 (2023) - [i4]Masahiro Suzuki
, Masanori Hirano, Hiroki Sakaji:
From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models. CoRR abs/2309.03412 (2023) - [i3]Issey Sukeda, Masahiro Suzuki
, Hiroki Sakaji, Satoshi Kodera:
JMedLoRA: Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuning. CoRR abs/2310.10083 (2023) - 2022
- [j15]Rei Taguchi, Hikaru Watanabe, Hiroki Sakaji, Kiyoshi Izumi, Kenji Hiramatsu:
Constructing Equity Investment Strategies Using Analyst Reports and Regime Switching Models. Frontiers Artif. Intell. 5: 865950 (2022) - [j14]Masahiro Suzuki
, Hiroki Sakaji, Kiyoshi Izumi, Yasushi Ishikawa:
Forecasting Stock Price Trends by Analyzing Economic Reports With Analyst Profiles. Frontiers Artif. Intell. 5: 866723 (2022) - [j13]Motomasa Fujii, Hiroki Sakaji, Shigeru Masuyama, Hajime Sasaki
:
Extraction and classification of risk-related sentences from securities reports. Int. J. Inf. Manag. Data Insights 2(2): 100096 (2022) - [j12]Masanori Hirano
, Kiyoshi Izumi
, Hiroki Sakaji:
STBM+: Advanced Stochastic Trading Behavior Model for Financial Markets using Residual Blocks or Transformers. New Gener. Comput. 40(1): 7-24 (2022) - [c62]Yoshiaki Fukami, Takumi Shimizu, Teruaki Hayashi, Hiroki Sakaji, Hiroyasu Matsushima:
Centralized Versus Decentralized Digital Identity Architectures: Simulation Models of Data Exchange. AAAI Spring Symposium: HFIF 2022: 94-95 - [c61]Masanori Hirano, Kiyoshi Izumi, Hiroki Sakaji:
Implementation of Actual Data for Artificial Market Simulation. AAMAS 2022: 1624-1626 - [c60]Naoto Minakawa, Kiyoshi Izumi, Hiroki Sakaji:
Bilateral Trade Flow Prediction by Gravity-informed Graph Auto-encoder. IEEE Big Data 2022: 2327-2332 - [c59]Hiroki Sakaji, Masahiro Suzuki
, Kiyoshi Izumi, Hiroyuki Mitsugi:
Gradual Further Pre-training Architecture for Economics/Finance Domain Adaptation of Language Model. IEEE Big Data 2022: 2352-2355 - [c58]Rei Taguchi, Hiroki Sakaji, Kiyoshi Izumi:
SSAAM: Sentiment Signal-based Asset Allocation Method with Causality Information. IEEE Big Data 2022: 2373-2376 - [c57]Takehiro Takayanagi, Hiroki Sakaji, Kiyoshi Izumi:
SETN: Stock Embedding Enhanced with Textual and Network Information. IEEE Big Data 2022: 2377-2382 - [c56]Toshihiko Nanba, Kazuhito Ogawa, Naoki Watanabe, Teruaki Hayashi, Hiroki Sakaji:
A Model of Pricing Data and Their Constituent Variables Traded in Two-Sided Markets with Resale: A Subject Experiment. IEEE Big Data 2022: 3288-3294 - [c55]Masanori Hirano
, Hiroki Sakaji, Kiyoshi Izumi:
Concept and Practice of Artificial Market Data Mining Platform. CIFEr 2022: 1-10 - [c54]Kei Nakagawa
, Shingo Sashida, Hiroki Sakaji:
Investment Strategy via Lead Lag Effect using Economic Causal Chain and SSESTM Model. IIAI-AAI 2022: 287-292 - [c53]Rei Taguchi, Hikaru Watanabe, Hiroki Sakaji, Kiyoshi Izumi, Kenji Hiramatsu:
Proposal for Turning Point Detection Method Using Financial Text and Transformer. JSAI-isAI Workshops 2022: 171-181 - [c52]Naoto Minakawa, Kiyoshi Izumi, Hiroki Sakaji, Hitomi Sano:
Transaction Prediction by Using Graph Neural Network and Textual Industry Information. JSAI-isAI Workshops 2022: 251-266 - [c51]Teruaki Hayashi, Hiroyasu Matsushima
, Hiroki Sakaji, Yoshiaki Fukami, Takumi Shimizu
:
Models of Exchanged Datasets and Interactions of Buyers in the Data Market: Toward Multi-Agent Simulators for System Design. KES 2022: 1695-1704 - [c50]Naoto Minakawa, Kiyoshi Izumi, Hiroki Sakaji, Hitomi Sano:
Graph Representation Learning of Banking Transaction Network with Edge Weight-Enhanced Attention and Textual Information. WWW (Companion Volume) 2022: 630-637 - [i2]Masanori Hirano
, Hiroki Sakaji, Kiyoshi Izumi:
Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets. CoRR abs/2204.13338 (2022) - 2021
- [j11]Teruaki Hayashi
, Hiroki Sakaji
, Hiroyasu Matsushima
, Yoshiaki Fukami
, Takumi Shimizu
, Yukio Ohsawa
:
Data Combination for Problem-Solving: A Case of an Open Data Exchange Platform. Rev. Socionetwork Strateg. 15(2): 521-534 (2021) - [c49]Teruaki Hayashi, Takumi Shimizu, Yoshiaki Fukami, Hiroki Sakaji, Hiroyasu Matsushima
:
Growing Process of Communities on Data Platforms: Case Analysis of a COVID-19 Dataset. IEEE BigData 2021: 3466-3471 - [c48]Hiroki Sakaji, Teruaki Hayashi, Yoshiaki Fukami, Takumi Shimizu, Hiroyasu Matsushima
, Kiyoshi Izumi
:
Retrieving of Data Similarity using Metadata on a Data Analysis Competition Platform. IEEE BigData 2021: 3480-3485 - [c47]Rei Taguchi, Hikaru Watanabe, Masanori Hirano
, Masahiro Suzuki
, Hiroki Sakaji, Kiyoshi Izumi
, Kenji Hiramatsu:
Market Trend Analysis Using Polarity Index Generated from Analyst Reports. IEEE BigData 2021: 3486-3494 - 2020
- [j10]Tomoki Ito
, Kota Tsubouchi
, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi
:
Contextual Sentiment Neural Network for Document Sentiment Analysis. Data Sci. Eng. 5(2): 180-192 (2020) - [j9]Tomoki Ito
, Hiroki Sakaji, Kiyoshi Izumi
, Kota Tsubouchi
, Tatsuo Yamashita:
GINN: gradient interpretable neural networks for visualizing financial texts. Int. J. Data Sci. Anal. 9(4): 431-445 (2020) - [j8]Masahiro Suzuki
, Hiroki Sakaji
, Kiyoshi Izumi
, Hiroyasu Matsushima
, Yasushi Ishikawa:
Forecasting Net Income Estimate and Stock Price Using Text Mining from Economic Reports. Inf. 11(6): 292 (2020) - [j7]Masanori Hirano
, Kiyoshi Izumi
, Hiroyasu Matsushima
, Hiroki Sakaji:
Comparing Actual and Simulated HFT Traders' Behavior for Agent Design. J. Artif. Soc. Soc. Simul. 23(3) (2020) - [c46]Tomoki Ito, Kota Tsubouchi, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi:
Word-Level Contextual Sentiment Analysis with Interpretability. AAAI 2020: 4231-4238 - [c45]Hiroki Sakaji, Teruaki Hayashi, Kiyoshi Izumi
, Yukio Ohsawa:
Verification of Data Similarity using Metadata on a Data Exchange Platform. IEEE BigData 2020: 4467-4474 - [c44]Yoshiyuki Suimon, Kiyoshi Izumi
, Hiroki Sakaji, Takashi Shimada, Hiroyasu Matsushima:
Estimating Manufacturing Activity via Machine Learning Analysis of High-frequency Electricity Demand Patterns. IIAI-AAI 2020: 562-565 - [c43]Masanori Hirano
, Hiroyasu Matsushima
, Kiyoshi Izumi, Hiroki Sakaji:
STBM: Stochastic Trading Behavior Model for Financial Markets. JSAI 2020: 157-165 - [c42]Masanori Hirano
, Hiroyasu Matsushima
, Kiyoshi Izumi
, Hiroki Sakaji:
Implementation of Real Data for Financial Market Simulation Using Clustering, Deep Learning, and Artificial Financial Market. PRIMA 2020: 3-18 - [c41]Tomoki Ito, Kota Tsubouchi
, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi
:
SSNN: Sentiment Shift Neural Network. SDM 2020: 262-270 - [i1]Teruaki Hayashi, Hiroki Sakaji, Hiroyasu Matsushima, Yoshiaki Fukami, Takumi Shimizu, Yukio Ohsawa:
Data Combination for Problem-solving: A Case of an Open Data Exchange Platform. CoRR abs/2012.11746 (2020)
2010 – 2019
- 2019
- [j6]Hiroki Sakaji, Masaki Kohana, Akio Kobayashi, Hiroyuki Sakai:
Enriching folksonomy for online videos. Int. J. Grid Util. Comput. 10(3): 258-264 (2019) - [j5]Masanori Hirano
, Hiroki Sakaji, Shoko Kimura, Kiyoshi Izumi
, Hiroyasu Matsushima
, Shintaro Nagao, Atsuo Kato:
Related Stocks Selection with Data Collaboration Using Text Mining. Inf. 10(3): 102 (2019) - [j4]Ryo Hamawaki, Kiyoshi Izumi, Hiroki Sakaji, Takashi Shimada, Hiroyasu Matsushima
:
Chain bankruptcy size in inter-bank networks: the effects of asset price volatility and the network structure. J. Comput. Soc. Sci. 2(1): 53-66 (2019) - [j3]Masaki Kohana, Hiroki Sakaji, Akio Kobayashi, Shusuke Okamoto:
File Assignment Control for a Web System of Contents Categorization. Trans. Comput. Collect. Intell. 33: 89-102 (2019) - [c40]Hiroki Sakaji, Akio Kobayashi, Masaki Kohana, Yasunao Takano, Kiyoshi Izumi
:
Estimation of Tags Using Various Data for Online Videos. AINA 2019: 301-312 - [c39]Yasunao Takano, Yusuke Iijima, Kou Kobayashi, Hiroshi Sakuta, Hiroki Sakaji, Masaki Kohana, Akio Kobayashi:
Improving Document Similarity Calculation Using Cosine-Similarity Graphs. AINA 2019: 512-522 - [c38]Hirofumi Yamamoto, Hiroki Sakaji, Hiroyasu Matsushima
, Yuki Yamashita, Kyohei Osawa, Kiyoshi Izumi
, Takashi Shimada:
Forecasting Crypto-Asset Price Using Influencer Tweets. AINA 2019: 940-951 - [c37]Tomoki Ito, Kota Tsubouchi
, Hiroki Sakaji, Tatsuo Yamashita, Kiyoshi Izumi
:
Word-level Sentiment Visualizer for Financial Documents. CIFEr 2019: 1-7 - [c36]Atsuki Nakayama, Kiyoshi Izumi
, Hiroki Sakaji, Hiroyasu Matsushima
, Takashi Shimada, Kenta Yamada:
Short-term Stock Price Prediction by Analysis of Order Pattern Images. CIFEr 2019: 1-5 - [c35]Yoshiyuki Suimon, Hiroki Sakaji, Takashi Shimada, Kiyoshi Izumi
, Hiroyasu Matsushima
:
Japanese long-term interest rate forecast considering the connection between the Japanese and US yield curve. CIFEr 2019: 1-7 - [c34]Kyoto Yono, Kiyoshi Izumi
, Hiroki Sakaji, Hiroyasu Matsushima
, Takashi Shimada:
Extraction of Focused Topic and Sentiment of Financial Market by using Supervised Topic Model for Price Movement Prediction. CIFEr 2019: 1-7 - [c33]Yuta Niki, Hiroki Sakaji, Kiyoshi Izumi
, Hiroyasu Matsushima
:
Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models. ICDM Workshops 2019: 17-23 - [c32]Hiroki Sakaji, Yasutomo Kimura, Kiyoshi Izumi
, Hiroyasu Matsushima
:
Extraction of Volitional Utterances from Japanese Local Political Corpus. ICDM Workshops 2019: 24-29 - [c31]Masahiro Suzuki
, Toshiya Katagi, Hiroki Sakaji, Kiyoshi Izumi
, Yasushi Ishikawa:
Stock Price Analysis Using Combination of Analyst Reports and Several Documents. ICDM Workshops 2019: 30-36 - [c30]Tomoki Ito, Kota Tsubouchi
, Hiroki Sakaji, Kiyoshi Izumi
, Tatsuo Yamashita:
CSNN: Contextual Sentiment Neural Network. ICDM 2019: 1126-1131 - [c29]Yoshiyuki Suimon, Hiroki Sakaji, Takashi Shimada, Kiyoshi Izumi
, Hiroyasu Matsushima
:
Extraction of Relationship between Japanese and US Interest Rates using Machine Learning Methods. IIAI-AAI 2019: 649-654 - [c28]Kei Nakagawa
, Shingo Sashida, Hiroki Sakaji, Kiyoshi Izumi
:
Economic Causal Chain and Predictable Stock Returns. IIAI-AAI 2019: 655-660 - [c27]Kyoto Yono, Kiyoshi Izumi
, Hiroki Sakaji, Hiroyasu Matsushima
, Takashi Shimada:
Analysis of the Macroeconomic Uncertainty Based on the News-based Textual Data with Financial Market. IIAI-AAI 2019: 661-666 - [c26]Kaito Takano, Miryu Tanaka, Hiroyuki Sakai, Ryozo Kitajima, Takahisa Ota, Chinatsu Tanabe, Hiroki Sakaji:
Extraction of Characteristic Terms from Patent Documents for Technical Trend Analysis. IIAI-AAI 2019: 667-672 - [c25]Iwao Maeda, Hiroyasu Matsushima
, Hiroki Sakaji, Kiyoshi Izumi
, David deGraw, Atsuo Kato, Michiharu Kitano:
Effectiveness of Uncertainty Consideration in Neural-Network-Based Financial Forecasting. IIAI-AAI 2019: 673-678 - [c24]Yoshinori Tanaka, Syunya Kodera, Fumihito Sato, Hiroki Sakaji, Kiyoshi Izumi
:
The Extraction of the Future-Oriented Sentences from Annual Reports. IIAI-AAI 2019: 679-684 - [c23]Kiyoshi Izumi
, Hiroki Sakaji:
Economic Causal-Chain Search Using Text Mining Technology. IJCAI 2019: 23-35 - [c22]Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi
:
Segment Information Extraction from Financial Annual Reports Using Neural Network. JSAI 2019: 215-226 - [c21]Hiroki Sakaji, Akio Kobayashi, Masaki Kohana, Yasunao Takano, Kiyoshi Izumi
:
Card Price Prediction of Trading Cards Using Machine Learning Methods. NBiS 2019: 705-714 - [c20]Ryo Hamawaki, Jun'ichi Ozaki, Kiyoshi Izumi
, Takashi Shimada, Hiroki Sakaji, Hiroyasu Matsushima
:
Chain Bankruptcy Simulation Considering Investment from Banks to Companies. SMC 2019: 3784-3790 - 2018
- [j2]Hokuto Ototake, Hiroki Sakaji, Keiichi Takamaru, Akio Kobayashi, Yuzu Uchida, Yasutomo Kimura:
Web-based system for Japanese local political documents. Int. J. Web Inf. Syst. 14(3): 357-371 (2018) - [c19]Masaki Kohana, Hiroki Sakaji, Akio Kobayashi, Shusuke Okamoto:
A Parallel Calculation Method on Web Browser for Contents Categorization. AINA Workshops 2018: 40-44 - [c18]Masanori Hirano
, Hiroki Sakaji, Shoko Kimura, Kiyoshi Izumi
, Hiroyasu Matsushima
, Shintaro Nagao, Atsuo Kato:
Selection of Related Stocks using Financial Text Mining. ICDM Workshops 2018: 191-198 - [c17]Tomoki Ito, Hiroki Sakaji, Kota Tsubouchi
, Kiyoshi Izumi
, Tatsuo Yamashita:
Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data. PAKDD (3) 2018: 247-259 - 2017
- [c16]Masaki Kohana, Hiroki Sakaji, Akio Kobayashi, Shusuke Okamoto:
A Distributed Calculation Scheme for Contents Categorization. AINA 2017: 614-620 - [c15]Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi
, Kota Tsubouchi
, Tatsuo Yamashita:
Development of an Interpretable Neural Network Model for Creation of Polarity Concept Dictionaries. ICDM Workshops 2017: 1122-1131 - [c14]Hokuto Ototake, Hiroki Sakaji, Keiichi Takamaru, Akio Kobayashi, Yuzu Uchida, Yasutomo Kimura:
A Web-Based Visualization System for Interdisciplinary Research Using Japanese Local Political Corpus. NBiS 2017: 1076-1085 - [c13]Hiroki Sakaji, Atsuya Miyazaki, Hiroyuki Sakai, Kiyoshi Izumi
:
Extracting Laboratory Front Pages from University Websites. NBiS 2017: 1117-1125 - [c12]Masaki Kohana, Hiroki Sakaji, Akio Kobayashi, Shusuke Okamoto:
A Topic Trend on P2P Based Social Media. NBiS 2017: 1136-1143 - [c11]Akio Kobayashi, Hiroki Sakaji, Masaki Kohana:
A Method for Extracting Correct Links from Automatic Created Links on Folksonomy. NBiS 2017: 1144-1150 - [c10]Tomoki Ito, Hiroki Sakaji, Kiyoshi Izumi
, Kota Tsubouchi
, Tatsuo Yamashita:
Development of sentiment indicators using both unlabeled and labeled posts. SSCI 2017: 1-8 - [c9]Shiori Kitamori, Hiroyuki Sakai, Hiroki Sakaji:
Extraction of sentences concerning business performance forecast and economic forecast from summaries of financial statements by deep learning. SSCI 2017: 1-7 - [c8]Hiroki Sakaji, Risa Murono, Hiroyuki Sakai, Jason Bennett, Kiyoshi Izumi
:
Discovery of rare causal knowledge from financial statement summaries. SSCI 2017: 1-7 - 2016
- [j1]Hiroki Sakaji, Junya Ishibuchi, Hiroyuki Sakai:
Extraction of polarity comments from Nico Nico Douga. Int. J. Space Based Situated Comput. 6(3): 165-172 (2016) - [c7]Yasutomo Kimura, Keiichi Takamaru, Takuma Tanaka, Akio Kobayashi, Hiroki Sakaji, Yuzu Uchida, Hokuto Ototake, Shigeru Masuyama:
Creating Japanese Political Corpus from Local Assembly Minutes of 47 prefectures. ALR@COLING 2016: 78-85 - [c6]Hiroki Sakaji, Masaki Kohana, Akio Kobayashi, Hiroyuki Sakai:
Estimation of Tags via Comments on Nico Nico Douga. NBiS 2016: 550-553 - 2015
- [c5]Hiroki Sakaji, Junya Ishibuchi, Hiroyuki Sakai:
Extracting Polarity Comments from Nico Nico Douga. NBiS 2015: 669-672 - [c4]Akihito Ikeda, Akio Kobayashi, Hiroki Sakaji, Shigeru Masuyama:
Classification of Comments on Nico Nico Douga for Annotation Based on Referred Contents. NBiS 2015: 673-678 - 2010
- [c3]Yusuke Suzuki, Hirofumi Nonaka, Hiroki Sakaji, Akio Kobayashi, Hiroyuki Sakai, Shigeru Masuyama:
NTCIR-8 Patent Mining Task at Toyohashi University of Technology. NTCIR 2010: 364-369
2000 – 2009
- 2008
- [c2]Hiroki Sakaji, Hiroyuki Sakai, Shigeru Masuyama:
Automatic Extraction of Basis Expressions That Indicate Economic Trends. PAKDD 2008: 977-984 - [c1]Hiroki Sakaji, Satoshi Sekine, Shigeru Masuyama:
Extracting Causal Knowledge Using Clue Phrases and Syntactic Patterns. PAKM 2008: 111-122
Coauthor Index
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