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Understanding Citizens' Direct Policy Suggestions to the Federal Government: A Natural Language Processing and Topic Modeling Approach

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References

2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts3,290 cited
2011topicmodels : An R Package for Fitting Topic Models1,071 cited
2009A Method of Automated Nonparametric Content Analysis for Social Science762 cited
2019An Introduction to the Policy Process691 cited
2009How to Analyze Political Attention with Minimal Assumptions and Costs670 cited
2009A Bayesian Hierarchical Topic Model for Political Texts: Measuring Expressed Agendas in Senate Press Releases552 cited
2003Information and American democracy: technology in the evolution of political power534 cited
2003Information and American Democracy526 cited

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2021Using machine learning to identify incentives in forestry policy: Towards a new paradigm in policy analysis37 cited
2023Making Sense of Citizens’ Input through Artificial Intelligence: A Review of Methods for Computational Text Analysis to Support the Evaluation of Contributions in Public Participation36 cited

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2015Introducing textual analysis tools for policy informatics31 cited

2021Importance of data preparation when analysing written responses to open-ended questions: An empirical assessment and comparison with manual coding26 cited

2023Mapping Climate Themes From 2008-2021—An Analysis of Business News Using Topic Models23 cited

2020What, when and where of petitions submitted to the UK government during a time of chaos14 cited

2020What do governments plan in the field of artificial intelligence?11 cited

2019Text mining policy: Classifying forest and landscape restoration policy agenda with neural information retrieval6 cited

2024Evaluating LLM-Generated Topics from Survey Responses: Identifying Challenges in Recruiting Participants through Crowdsourcing5 cited

2024A Study on Structured Text Parsing for Policies Based on BERTopic1 cited