8 Leveraging ChatGPT and table arrangement techniques in advanced newspaper content analysis for stock insights
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Masaki Murata
Abstract
This study uses table arrangement techniques and ChatGPT to analyze articles from the Mainichi Shimbun for stock price prediction. From the analysis, we identified 22 primary factors that influence the Nikkei Stock Average. We also discovered that ChatGPT could extract and present newspaper data in a tabular format. These factors significantly impact stock price fluctuations. The Nikkei Stock Average tends to rise with improved US trade relations, a strong domestic economy, and events such as the Olympics. Conversely, it tends to decline during global stock market crashes, trade tensions, and pandemics. Moreover, we propose a highly efficient, large-scale method for creating tables by integrating table arrangement techniques with ChatGPT. Using a lenient criterion, the proposed method attains an accuracy rate of 0.88. Items frequently mentioned in articles concerning the Nikkei Stock Average are systematically presented in a table, illustrating how the index rises or falls in response to these items. This table also delves deeper into the effects of exchange rate changes on the Nikkei Stock Average. Our findings offer valuable insights into the movement of the Nikkei Stock Average. Future research will further refine these techniques to improve stock prediction accuracy.
Abstract
This study uses table arrangement techniques and ChatGPT to analyze articles from the Mainichi Shimbun for stock price prediction. From the analysis, we identified 22 primary factors that influence the Nikkei Stock Average. We also discovered that ChatGPT could extract and present newspaper data in a tabular format. These factors significantly impact stock price fluctuations. The Nikkei Stock Average tends to rise with improved US trade relations, a strong domestic economy, and events such as the Olympics. Conversely, it tends to decline during global stock market crashes, trade tensions, and pandemics. Moreover, we propose a highly efficient, large-scale method for creating tables by integrating table arrangement techniques with ChatGPT. Using a lenient criterion, the proposed method attains an accuracy rate of 0.88. Items frequently mentioned in articles concerning the Nikkei Stock Average are systematically presented in a table, illustrating how the index rises or falls in response to these items. This table also delves deeper into the effects of exchange rate changes on the Nikkei Stock Average. Our findings offer valuable insights into the movement of the Nikkei Stock Average. Future research will further refine these techniques to improve stock prediction accuracy.
Kapitel in diesem Buch
- Frontmatter I
- Preface V
- Contents VII
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Methods and instrumentation
- 1 Identifying and estimating outliers in time series with nonstationary mean through multiobjective optimization method 1
- 2 Using the intentionally linked entities (ILE) database system to create hypergraph databases with fast and reliable relationship linking, with example applications 21
- 3 Rapid and automated determination of cluster numbers for high-dimensional big data: a comprehensive update 37
- 4 Canonical correlation analysis and exploratory factor analysis of the four major centrality metrics 49
- 5 Navigating the landscape of automated data preprocessing: an in-depth review of automated machine learning platforms 71
- 6 Generating random XML 83
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Applications and case studies
- 7 Exploring autism risk: a deep dive into graph neural networks and gene interaction data 105
- 8 Leveraging ChatGPT and table arrangement techniques in advanced newspaper content analysis for stock insights 121
- 9 An experimental study on road surface classification 145
- 10 RNN models for evaluating financial indices: examining volatility and demand-supply shifts in financial markets during COVID-19 165
- 11 Topological methods for vibration feature extraction 185
- 12 Dyna-SPECTS: DYNAmic enSemble of Price Elasticity Computation models using Thompson Sampling in e-commerce 215
- 13 Creating a metadata schema for reservoirs of data: a systems engineering approach 251
- 14 Implementation and evaluation of an eXplainable artificial intelligence to explain the evaluation of an assessment analytics algorithm for freetext exams in psychology courses in higher education to attest QBLM-based competencies 271
- 15 Toward a skill-centered qualification ontology supporting data mining of human resources in knowledge-based enterprise process representations 307
- Index 333
Kapitel in diesem Buch
- Frontmatter I
- Preface V
- Contents VII
-
Methods and instrumentation
- 1 Identifying and estimating outliers in time series with nonstationary mean through multiobjective optimization method 1
- 2 Using the intentionally linked entities (ILE) database system to create hypergraph databases with fast and reliable relationship linking, with example applications 21
- 3 Rapid and automated determination of cluster numbers for high-dimensional big data: a comprehensive update 37
- 4 Canonical correlation analysis and exploratory factor analysis of the four major centrality metrics 49
- 5 Navigating the landscape of automated data preprocessing: an in-depth review of automated machine learning platforms 71
- 6 Generating random XML 83
-
Applications and case studies
- 7 Exploring autism risk: a deep dive into graph neural networks and gene interaction data 105
- 8 Leveraging ChatGPT and table arrangement techniques in advanced newspaper content analysis for stock insights 121
- 9 An experimental study on road surface classification 145
- 10 RNN models for evaluating financial indices: examining volatility and demand-supply shifts in financial markets during COVID-19 165
- 11 Topological methods for vibration feature extraction 185
- 12 Dyna-SPECTS: DYNAmic enSemble of Price Elasticity Computation models using Thompson Sampling in e-commerce 215
- 13 Creating a metadata schema for reservoirs of data: a systems engineering approach 251
- 14 Implementation and evaluation of an eXplainable artificial intelligence to explain the evaluation of an assessment analytics algorithm for freetext exams in psychology courses in higher education to attest QBLM-based competencies 271
- 15 Toward a skill-centered qualification ontology supporting data mining of human resources in knowledge-based enterprise process representations 307
- Index 333
