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Keyword

text-as-data

Description: Text-as-data is an approach that treats written language as analyzable data, often using computational methods in social science and policy research.
OpenAlex ID: keywords/text-as-data
Text as Data
2019 · Matthew Gentzkow, Bryan Kelly, et al. · Journal of Economic Literature · 1,254
Fightin' Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict
2008 · Burt L. Monroe, Michael P. Colaresi, et al. · Political Analysis · 538
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Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It
2017 · Matthew J. Denny, Arthur Spirling · Political Analysis · 465
Large-Scale Computerized Text Analysis in Political Science: Opportunities and Challenges
2017 · John Wilkerson, Andreu Casas · Annual Review of Political Science · 299
Text as Data: A New Framework for Machine Learning and the Social Sciences
2023 · Jimi Adams · Contemporary Sociology A Journal of Reviews · 204
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Text Algorithms in Economics
2023 · Elliott Ash, Stephen Hansen · Annual Review of Economics · 197
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Automated Text Classification of News Articles: A Practical Guide
2020 · Pablo Barberá, Amber E. Boydstun, et al. · Political Analysis · 155
Understanding state preferences with text as data: Introducing the UN General Debate corpus
2017 · Alexander Baturo, Niheer Dasandi, et al. · Research & Politics · 149
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Understanding State Preferences With Text As Data: Introducing the UN General Debate Corpus
2017 · Baturo, Alexander, Dasandi, Niheer, et al. · Open Access at Essex (University of Essex) · 141
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How to make causal inferences using texts
2022 · Naoki Egami, Christian J. Fong, et al. · Science Advances · 117
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A Timely Intervention: Tracking the Changing Meanings of Political Concepts with Word Vectors
2019 · Emma Rodman · Political Analysis · 110
Large language models as a substitute for human experts in annotating political text
2024 · Michael Heseltine, Bernhard Clemm von Hohenberg · Research & Politics · 101
Chinese corporate biodiversity exposure
2024 · Feng He, Longxuan Chen, et al. · Finance research letters · 100
Large Language Models Outperform Expert Coders and Supervised Classifiers at Annotating Political Social Media Messages
2024 · Petter Törnberg · Social Science Computer Review · 100
New Avenues for Sociological Inquiry
2009 · Laura Robinson, Jeremy Schulz · Sociology · 99
Text as Data: An Overview
2020 · Ken Benoit · SAGE Publications Ltd eBooks · 94
Text as Data: A New Framework for Machine Learning and the Social Sciences
2023 · Kendralin Freeman · Contemporary Sociology A Journal of Reviews · 89
Text as Data
2017 · Matthew Gentzkow, Bryan Kelly, et al. · National Bureau of Economic Research · 86
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National innovation policies for technology upgrading through GVCs: A cross-country comparison
2018 · Sandrine Kergroach · Technological Forecasting and Social Change · 81
Introducing the Electronic Database of Investment Treaties (EDIT): The Genesis of a New Database and Its Use
2020 · Wolfgang Alschner, Manfred Elsig, et al. · World Trade Review · 57
Machine learning for research on climate change adaptation policy integration: an exploratory UK case study
2020 · Robbert Biesbroek, Shashi Badloe, et al. · Regional Environmental Change · 57
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How to Make Causal Inferences Using Texts
2018 · Egami, Naoki, Fong, Christian J., et al. · arXiv (Cornell University) · 53
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Unpacking government social media messaging strategies during the COVID‐19 pandemic in China
2021 · Yiran Li, Yanto Chandra, et al. · Policy & Internet · 48
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Asymmetric or Incomplete Information about Asset Values?
2018 · Crocker H Liu, Adam D Nowak, et al. · Review of Financial Studies · 46
How to train your stochastic parrot: large language models for political texts
2025 · Joseph T. Ornstein, Elise N. Blasingame, et al. · Political Science Research and Methods · 44
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Works count: 544
Citation count: 6,356
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