Monetary Policy Topic Extraction by Using LDA: Japanese Monetary Policy of the Second ABE Cabinet Term

Shirota, Yukari; Yano, Yuriko; Hashimoto, Takako; Sakura, Tamaki

doi:10.1109/iiai-aai.2015.168

Cited by 12 publications

(15 citation statements)

References 3 publications

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“…LDA was used to examine financial news for trend and characterization of major events that impact the market (Dey et al, 2009; Mahajan et al, 2008). LDA was also used to extract the financial and monetary policy of the Bank of Japan (Shirota et al, 2014; Shirota et al, 2015). The policy of the US Government's art funding was examined using LDA (DiMaggio et al, 2013).…”

Section: Related Workmentioning

confidence: 99%

A textual analysis of the US Securities and Exchange Commission's accounting and auditing enforcement releases relating to the Sarbanes–Oxley Act

Davalos

Feroz

2022

Intell Sys Acc Fin Mgmt

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Summary We focus on textual analysis of the US Securities and Exchange Commission's accounting and auditing enforcement releases (AAERs). Our research question is: Did the Sarbanes–Oxley Act (SOX) 2002 affect the qualitative linguistic content of the AAERs in the post‐SOX period? To answer this question, we test the null hypotheses that there will be no differences in the qualitative verbiage and sentiment of AAERs in the time periods that we study related to the enactment of SOX: pre‐SOX and post‐SOX. To resolve the research question, we applied several text mining methods and classification machine‐learning methods. We first used two basic text‐mining methods, generating a bag of words and topic modeling, for descriptive analysis of the AAER content before the enactment of SOX and after the enforcement of SOX. We then conducted sentiment analysis using four sentiment dictionaries on the content of the two time periods: before SOX and after SOX. Finally, we developed three different classification models based on well‐known supervised learning algorithms and determined that SOX‐related AAERs could be distinguished from non‐SOX‐related AAERs. Based on the results, we conclude that there were significant linguistic differences in the AAER content of the post‐SOX period compared with the pre‐SOX period. In other words, post‐SOX‐related AAERs are qualitatively different in terms of linguistic contents and sentiment values compared with the non‐SOX‐related AAERs.

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Section: Related Workmentioning

confidence: 99%

A textual analysis of the US Securities and Exchange Commission's accounting and auditing enforcement releases relating to the Sarbanes–Oxley Act

Davalos

Feroz

2022

Intell Sys Acc Fin Mgmt

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“…We also investigated highly scholarly articles related to the LDA topic model in the field of policy. Using the LDA model, Shirota et al [17] conducted topic extraction from meeting notes generated from January 2013 to June 2014. The extracted topics clearly showed the monetary policy of the Central Bank of Japan.…”

Section: Lda and Topic Modelingmentioning

confidence: 99%

PG-CODE: Latent dirichlet allocation embedded policy knowledge graph for government department coordination

Kang

Zhang

et al. 2022

Tsinghua Sci. Technol.

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Government policy-group integration and policy-chain inference are significant to the execution of strategies in current Chinese society. Specifically, the coordination of hierarchical policies implemented among government departments is one of the key challenges to rural revitalization. In recent years, various well-established quantitative methods have been proposed to evaluate policy coordination, but the majority of these relied on manual analysis, which can lead to subjective results. Thus, in this paper, a novel approach called "policy knowledge graph for the coordination among the government departments" (PG-CODE) is proposed, which incorporates topic modeling into policy knowledge graphs. Similar to a knowledge graph, a policy knowledge graph uses a graph-structured data model to integrate policy discourse. With latent Dirichlet allocation embedding, a policy knowledge graph could capture the underlying topics of the policies. Furthermore, coordination strength and topic diffusion among hierarchical departments could be inferred from the PG-CODE, as it can provide a better representation of coordination within the policy space. We implemented and evaluated the PG-CODE in the field of rural innovation and entrepreneurship policy, and the results effectively demonstrate improved coordination among departments.

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“…Traditional qualitative content analysis focuses on combining policy texts in a structured manner, such as exploring policy issues and environments, policy instruments and objectives, and research content in other public policy disciplines. Benefiting from previous theoretical discussion and empirical research, quantitative text analysis has been proven applicable to the study of policy instruments (11), policy topics (12), policy positions (13), and policy diffusion (14). With the help of mature text mining technology, scholars can identify the important information contained in thousands of policy texts.…”

Section: Introductionmentioning

confidence: 99%

Priorities and Instruments of Local Elderly Care Policies in China: Text Mining and Comparative Analysis

Yang

Yan

2021

Front. Public Health

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Health care for the elderly is one of the key issues in the field of public health. In the context of global aging, the government's policy framework for elderly care affects the development of local elderly care. The priorities and instruments of the elderly care policy are important windows for understanding the local development planning system. This paper uses a quantitative text analysis method based on text mining to analyze 3,618 provincial policies in China. Considering the pilot demonstration projects for elderly care selected by the Chinese government in recent years, this paper finds that local elderly care policies have a three-phase evolution, and the priorities in each phase are solving the legacy of transition, expanding private sector participation, and realizing the well-being of the elderly. Moreover, mature regions use more environmental policy instruments, and the most effective are financial services, regulatory systems, and strategic guidance. For immature regions, it is necessary to use more core instruments on the premise of using basic instruments so that public policies can serve local development and realize the well-being of the elderly.

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Monetary Policy Topic Extraction by Using LDA: Japanese Monetary Policy of the Second ABE Cabinet Term

Cited by 12 publications

References 3 publications

A textual analysis of the US Securities and Exchange Commission's accounting and auditing enforcement releases relating to the Sarbanes–Oxley Act

A textual analysis of the US Securities and Exchange Commission's accounting and auditing enforcement releases relating to the Sarbanes–Oxley Act

PG-CODE: Latent dirichlet allocation embedded policy knowledge graph for government department coordination

Priorities and Instruments of Local Elderly Care Policies in China: Text Mining and Comparative Analysis

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