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Improving Probabilistic Models In Text Classification Via Active Learning
10 references·1 citing·48 second hop
Improving Probabilistic Models In Text Classification Via Active Learning (2024)Improving Probabilistic Models In Text Cl…Text as Data: A New Framework for Machine Learning and the Social Sciences (2023)Text as Data: A New Framework…Keyword‐Assisted Topic Models (2023)Keyword‐Assisted Topic ModelsHuman Rights are (Increasingly) Plural: Learning the Changing Taxonomy of Human Rights from Large-scale Text Reveals Information Effects (2020)Human Rights are (Increasingl…HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)HISTORIAE, History of Socio-C…Machine Learning Human Rights and Wrongs: How the Successes and Failures of Supervised Learning Algorithms Can Inform the Debate About Information Effects (2018)Machine Learning Human Rights…Classification Accuracy as a Substantive Quantity of Interest: Measuring Polarization in Westminster Systems (2018)Classification Accuracy as a …How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument (2017)How the Chinese Government Fa…Echo Chamber or Public Sphere? Predicting Political Orientation and Measuring Political Homophily in Twitter Using Big Data (2014)Echo Chamber or Public Sphere…Making the News (2013)Making the NewsComputer-Assisted Topic Classification for Mixed-Methods Social Science Research (2008)Computer-Assisted Topic Class…High accuracy with low costs: the pretrain-finetune paradigm for classification with transformer-based language models (2026)High accuracy with low costs:…A Theory of Social Comparison Processes (1954)Birds of a Feather: Homophily in Social Networks (2001)The structural transformation of the public sphere (2006)Partisan Selective Sharing: The Biased Diffusion of Fact-Checking Messages on Social Media (2017)Social Media, Political Polarization, and Political Disinformation: A Review of the Scientific Literature (2018)Political Polarization on the Digital Sphere: A Cross-platform, Over-time Analysis of Interactional, Positional, and Affective Polarization on Social Media (2020)Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. 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this work references cited by second hop

References

  • 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
  • 2014Echo Chamber or Public Sphere? Predicting Political Orientation and Measuring Political Homophily in Twitter Using Big Data1,148 cited
  • 2017How the Chinese Government Fabricates Social Media Posts for Strategic Distraction, Not Engaged Argument1,025 cited
  • 2013Making the News270 cited
  • 2023Keyword‐Assisted Topic Models158 cited
  • 2008Computer-Assisted Topic Classification for Mixed-Methods Social Science Research138 cited
  • 2023Text as Data: A New Framework for Machine Learning and the Social Sciences89 cited
  • 2018Classification Accuracy as a Substantive Quantity of Interest: Measuring Polarization in Westminster Systems83 cited
  • 2020Human Rights are (Increasingly) Plural: Learning the Changing Taxonomy of Human Rights from Large-scale Text Reveals Information Effects25 cited
  • 2018Machine Learning Human Rights and Wrongs: How the Successes and Failures of Supervised Learning Algorithms Can Inform the Debate About Information Effects23 cited

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  • 2026High accuracy with low costs: the pretrain-finetune paradigm for classification with transformer-based language models1 cited

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