| Implementation of Actual Data for Artificial Market Simulation. | 0 | 0.34 | 2022 |
| Data Combination for Problem-Solving: A Case of an Open Data Exchange Platform | 0 | 0.34 | 2021 |
| Comparing Actual and Simulated HFT Traders' Behavior for Agent Design. | 0 | 0.34 | 2020 |
| Word-Level Contextual Sentiment Analysis With Interpretability | 0 | 0.34 | 2020 |
| Forecasting Net Income Estimate And Stock Price Using Text Mining From Economic Reports | 0 | 0.34 | 2020 |
| GINN: gradient interpretable neural networks for visualizing financial texts | 3 | 0.46 | 2020 |
| Contextual Sentiment Neural Network for Document Sentiment Analysis. | 0 | 0.34 | 2020 |
| Analysis of the Macroeconomic Uncertainty Based on the News-based Textual Data with Financial Market. | 0 | 0.34 | 2019 |
| Effectiveness of Uncertainty Consideration in Neural-Network-Based Financial Forecasting. | 0 | 0.34 | 2019 |
| Economic Causal Chain and Predictable Stock Returns. | 0 | 0.34 | 2019 |
| File Assignment Control for a Web System of Contents Categorization. | 0 | 0.34 | 2019 |
| Extraction of Characteristic Terms from Patent Documents for Technical Trend Analysis. | 0 | 0.34 | 2019 |
| Economic Causal-Chain Search Using Text Mining Technology | 0 | 0.34 | 2019 |
| Short-term Stock Price Prediction by Analysis of Order Pattern Images | 0 | 0.34 | 2019 |
| Forecasting Crypto-Asset Price Using Influencer Tweets. | 0 | 0.34 | 2019 |
| The Extraction of the Future-Oriented Sentences from Annual Reports. | 0 | 0.34 | 2019 |
| Japanese long-term interest rate forecast considering the connection between the Japanese and US yield curve | 0 | 0.34 | 2019 |
| Estimation of Tags Using Various Data for Online Videos. | 0 | 0.34 | 2019 |
| Extraction of Volitional Utterances from Japanese Local Political Corpus | 0 | 0.34 | 2019 |
| Extraction of Relationship between Japanese and US Interest Rates using Machine Learning Methods. | 0 | 0.34 | 2019 |
| Improving Document Similarity Calculation Using Cosine-Similarity Graphs. | 0 | 0.34 | 2019 |
| Csnn: Contextual Sentiment Neural Network | 0 | 0.34 | 2019 |
| Related Stocks Selection With Data Collaboration Using Text Mining | 1 | 0.37 | 2019 |
| Causality Existence Classification from Multilingual Texts Using End-to-End LSTM Models | 0 | 0.34 | 2019 |
| Word-level Sentiment Visualizer for Financial Documents | 0 | 0.34 | 2019 |
| Enriching Folksonomy For Online Videos | 0 | 0.34 | 2019 |
| Extraction of Focused Topic and Sentiment of Financial Market by using Supervised Topic Model for Price Movement Prediction | 0 | 0.34 | 2019 |
| Segment Information Extraction from Financial Annual Reports Using Neural Network. | 0 | 0.34 | 2019 |
| Text-Visualizing Neural Network Model: Understanding Online Financial Textual Data. | 1 | 0.36 | 2018 |
| A Parallel Calculation Method on Web Browser for Contents Categorization | 0 | 0.34 | 2018 |
| Selection of Related Stocks using Financial Text Mining. | 1 | 0.37 | 2018 |
| Web-Based System For Japanese Local Political Documents | 0 | 0.34 | 2018 |
| A Distributed Calculation Scheme for Contents Categorization | 1 | 0.43 | 2017 |
| A Method for Extracting Correct Links from Automatic Created Links on Folksonomy. | 0 | 0.34 | 2017 |
| Extraction of sentences concerning business performance forecast and economic forecast from summaries of financial statements by deep learning | 1 | 0.34 | 2017 |
| Extracting Laboratory Front Pages from University Websites. | 0 | 0.34 | 2017 |
| Development of sentiment indicators using both unlabeled and labeled posts | 0 | 0.34 | 2017 |
| A Topic Trend on P2P Based Social Media. | 0 | 0.34 | 2017 |
| A Web-Based Visualization System for Interdisciplinary Research Using Japanese Local Political Corpus. | 0 | 0.34 | 2017 |
| Discovery of rare causal knowledge from financial statement summaries | 1 | 0.43 | 2017 |
| Estimation Of Tags Via Comments On Nico Nico Douga | 0 | 0.34 | 2016 |
| Extraction Of Polarity Comments From Nico Nico Douga | 0 | 0.34 | 2016 |
| Creating Japanese Political Corpus from Local Assembly Minutes of 47 prefectures. | 0 | 0.34 | 2016 |
| Classification of Comments on Nico Nico Douga for Annotation Based on Referred Contents. | 3 | 0.56 | 2015 |
| Extracting Polarity Comments from Nico Nico Douga. | 0 | 0.34 | 2015 |
| NTCIR-8 Patent Mining Task at Toyohashi University of Technology | 0 | 0.34 | 2010 |
| Automatic extraction of basis expressions that indicate economic trends | 9 | 0.77 | 2008 |
| Extracting Causal Knowledge Using Clue Phrases and Syntactic Patterns | 9 | 1.03 | 2008 |
