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The public speaks: Using large-scale public comments data in public response research · Study

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ArticleThe public speaks: Using large-scale public comments data in public response research

Fedor A. Dokshin2022

Article2022

The public speaks: Using large-scale public comments data in public response research

Fedor A. Dokshin

14 citations·0/0 files stored·Energy Research & Social Science

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Computational and Text Analysis Methods E-Government and Public Services Sentiment Analysis and Opinion Mining

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References

2009The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts 2014Structural Topic Models for Open‐Ended Survey Responses 2019stm : An R Package for Structural Topic Models 2002Democracy in practice: public participation in environmental decisions 2009Tilting at Windmills? The Environmental Movement and the Emergence of the U.S. Wind Energy Sector 2015The Populist Style in American Politics: Presidential Campaign Discourse, 1952–1996 2016Machine Translation: Mining Text for Social Theory

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2025Benchmarking large language models against qualitative coding and natural language processing in decoding public sentiment on urban upzoning

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Year2022

Typearticle

Published2022-06-15

VenueEnergy Research & Social Science

ISSN-L2214-6296

Languageen

Citations14

Files0 public / 0

ShelfComputational and Text Analysis Methods

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doi10.1016/j.erss.2022.102689

openalex_workW4282973766

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