Examining the potential of textual big data analytics for public policy ...

The objective of this research is to further assess the potential of textual big data for transport policy decision making. We use a mix of different types of ...

Our study provides demonstrations in which opinion towards the adoption of driverless cars is examined through the analysis of newspaper articles and tweets ...

Examining the potential of textual big data analytics for public policy ...

Examining the potential of textual big data analytics for public policy decision-making: A case study with driverless cars in Denmark · Author · Abstract.

Examining the Potential of Textual Big Data Analytics for Public ...

In this way, the research attends to the collective as well as individualised characteristics of public opinion. The analyses establish that Text Analytics may ...

Examining the potential of textual big data analytics for public policy ...

Examining the potential of textual big data analytics for public policy decision-making: A case study with driverless cars in Denmark · List of references.

Big data analytics in public policy research and teaching

In this study, we examine the prevalence of big data analytics in public policy research and pedagogy using bibliometric analysis and topic mod-.

Big data analytics in public policy research and teaching

We used topic modeling to explore the main themes in the dataset. Topic modeling is a text mining technique for examining large document corpora ...

Big Data-Driven Public Policy Decisions: Transformation Toward ...

Big data analytics (BDA) enhances knowledge and decision-making. Despite its importance, the connection between technical progress and ...

Big Data in the Public Sector | SpringerLink

Economic analysis: Correlation of multiple sources of data will help government economists with more accurate financial forecasts. Tax agencies: Automated ...

Data science meets public policy

While the idea of data-driven public policy is certainly not new, datafication—the ability to transform nontraditional information sources such as text, images, ...

Big Data and Public Policy: Can It Succeed Where E-Participation ...

... The use and expected outcomes of policies are mostly focused on prediction based on information, and using big data for more accurate prediction. Moreover, ...

Big data in the policy cycle: Policy decision making in the digital era

The implementation of Big Data Analytics supports early-warning systems, and sentiment analysis of social media or real-time decision support systems have a ...

Application of Text Analytics in Public Service Co-Creation - arXiv

We hope it would be possible to select a specific range of countries and analyze the policy data of each country directly. Future research may focus on the ...

A big data analysis of the adoption of quoting encouragement policy ...

In addressing a notable gap in the literature, this study introduces a framework that assesses both the quantitative and qualitative effects of ...

Big data-driven public health policy making: Potential for the ... - NCBI

This study argues that BDA has the ability to transform the conventional policy-making process into data-driven process, which helps to make accurate health ...

Big Data Analytics and the Struggle for Equity in Health Care - NCBI

Although big data analytics, properly applied, hold great potential to target inequities and reduce disparities, we believe that the realization of this ...

Master of Science in Public Policy and Management | Data Analytics ...

MSPPM-DA students gain data skills and techniques that open new possibilities for public policy research and social impact. Heinz College and CMU provide ...

Challenges of Big Data analysis | National Science Review

Similarly, many statistical methods that perform well for low-dimensional data are facing significant challenges in analyzing high-dimensional data. To design ...

Application of Text Analytics in Public Service Co-Creation

Sentiment analysis is also used to support co-design informing, or to extract socially relevant information from large distributed data sources, such as the ...

Uncertainty in big data analytics: survey, opportunities, and challenges

The analysis of such massive amounts of data requires advanced analytical techniques for efficiently reviewing and/or predicting future courses ...