SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI
7 references·16 citing·46 second hop
Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI (2023)Less Annotating, More Classifying: Addres…Word Embeddings: What Works, What Doesn’t, and How to Tell the Difference for Applied Research (2021)Word Embeddings: What Works, …Three Gaps in Computational Text Analysis Methods for Social Sciences: A Research Agenda (2021)Three Gaps in Computational T…Automated Text Classification of News Articles: A Practical Guide (2020)Automated Text Classification…Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It (2017)Text Preprocessing For Unsupe…Large-Scale Computerized Text Analysis in Political Science: Opportunities and Challenges (2017)Large-Scale Computerized Text…Computer-Assisted Text Analysis for Comparative Politics (2015)Computer-Assisted Text Analys…Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (2013)Text as Data: The Promise and…Fine-tuned large language models can replicate expert coding better than trained coders: a study on informative signals sent by interest groups (2026)Fine-tuned large language mod…Towards algorithmic framing analysis: expanding the scope by using LLMs (2025)Towards algorithmic framing a…The Insight-Inference Loop: Efficient Text Classification via Natural Language Inference and Threshold-Tuning (2025)The Insight-Inference Loop: E…Political DEBATE: Efficient Zero-Shot and Few-Shot Classifiers for Political Text (2025)Political DEBATE: Efficient Z…Goodbye human annotators? Content analysis of social policy debates using ChatGPT (2025)Goodbye human annotators? Con…A Practical Guide and Case Study on How to Instruct LLMs for Automated Coding During Content Analysis (2025)A Practical Guide and Case St…Public sentiment and engagement on cybersecurity: Insights from Reddit discussions (2024)Public sentiment and engageme…On Measurement Validity and Language Models: Increasing Validity and Decreasing Bias with Instructions (2024)On Measurement Validity and L…Measuring climate mitigation policy content in text-as-data: navigating the conceptual challenges (2024)Measuring climate mitigation …Going Against the Grain: Climate Change as a Wedge Issue for the Radical Right (2024)Going Against the Grain: Clim…Gender stereotypes in artificial intelligence within the accounting profession using large language models (2024)Gender stereotypes in artific…Chasing the authoritarian spectre: Detecting authoritarian discourse with large language models (2024)Chasing the authoritarian spe…AI Psychometrics: Assessing the Psychological Profiles of Large Language Models Through Psychometric Inventories (2024)AI Psychometrics: Assessing t…Moving on to not fall behind? Technological sovereignty and the ‘geo-dirigiste’ turn in EU industrial policy (2023)Moving on to not fall behind?…Lowering the Language Barrier: Investigating Deep Transfer Learning and Machine Translation for Multilingual Analyses of Political Texts (2023)Lowering the Language Barrier…Advancing Automated Content Analysis for a New Era of Media Effects Research: The Key Role of Transfer Learning (2023)Advancing Automated Content A…Content Analysis: An Introduction to its Methodology. (1984)The Content Analysis Guidebook (2017)Content Analysis: An Introduction to Its Methodology (2019)stm : An R Package for Structural Topic Models (2019)Text as Data (2019)Structural Topic Models for Open‐Ended Survey Responses (2014)Quantitative analysis of large amounts of journalistic texts using topic modelling (2015)A Model of Text for Experimentation in the Social Sciences (2016)What do hotel customers complain about? Text analysis using structural topic model (2019)Who Leads? Who Follows? Measuring Issue Attention and Agenda Setting by Legislators and the Mass Public Using Social Media Data (2019)Climate change in news media across the globe: An automated analysis of issue attention and themes in climate change coverage in 10 countries (2006–2018) (2021)The Coding Manual for Qualitative Researchers (2025)Using natural language processing to analyse text data in behavioural science (2025)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Computational Social Science and the Study of Political Communication (2020)Social Media and Political Agenda Setting (2021)Out of One, Many: Using Language Models to Simulate Human Samples (2023)Extracting Policy Positions from Political Texts Using Words as Data (2003)Smart literature review: a practical topic modelling approach to exploratory literature review (2019)Machine Learning for Social Science: An Agnostic Approach (2021)Rhetoric and frame analysis of ExxonMobil's climate change communications (2021)I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)Distributional Structure (1954)Computing Machinery and Intelligence (1950) (2004)Emotion and Reason in Political Language (2021)Text Algorithms in Economics (2023)Confirmation Bias: A Ubiquitous Phenomenon in Many Guises (1998)False-Positive Psychology (2011)Machine Translation Vs. Multilingual Dictionaries Assessing Two Strategies for the Topic Modeling of Multilingual Text Collections (2021)Cross-Lingual Classification of Political Texts Using Multilingual Sentence Embeddings (2023)What We Can Do and Cannot Do with Topic Modeling: A Systematic Review (2023)1992: Recasting the European Bargain (1989)Transnational Capitalism and the Struggle over European Integration (2003)Computational Grounded Theory: A Methodological Framework (2017)Digital sovereignty as control: the regulation of digital finance in the European Union (2023)Undermining lobbying coalitions: the interest group politics of EU copyright reform (2023)Digital sovereignty - Rhetoric and reality (2024)Universals in the Content and Structure of Values: Theoretical Advances and Empirical Tests in 20 Countries (1992)Handbook of Personality: Theory and Research (2008)Semantics derived automatically from language corpora contain human-like biases (2017)How do people react to political bias in generative artificial intelligence (AI)? (2024)Six Fallacies in Substituting Large Language Models for Human Participants (2025)The high-dimensional psychological profile of ChatGPT (2025)The Semisovereign People: A Realist's View of Democracy in America (1960)Agendas and instability in American politics (1993)Populist Radical Right Parties in Europe (2007)
this work references cited by second hop

References

  • 2013Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts3,290 cited
  • 2015Computer-Assisted Text Analysis for Comparative Politics478 cited
  • 2017Text Preprocessing For Unsupervised Learning: Why It Matters, When It Misleads, And What To Do About It466 cited
  • 2017Large-Scale Computerized Text Analysis in Political Science: Opportunities and Challenges300 cited
  • 2021Word Embeddings: What Works, What Doesn’t, and How to Tell the Difference for Applied Research249 cited
  • 2021Three Gaps in Computational Text Analysis Methods for Social Sciences: A Research Agenda183 cited
  • 2020Automated Text Classification of News Articles: A Practical Guide157 cited

Cited by

  • 2023Moving on to not fall behind? Technological sovereignty and the ‘geo-dirigiste’ turn in EU industrial policy133 cited
  • 2024AI Psychometrics: Assessing the Psychological Profiles of Large Language Models Through Psychometric Inventories97 cited
  • 2024Going Against the Grain: Climate Change as a Wedge Issue for the Radical Right69 cited
  • 2023Advancing Automated Content Analysis for a New Era of Media Effects Research: The Key Role of Transfer Learning31 cited
  • 2024Public sentiment and engagement on cybersecurity: Insights from Reddit discussions21 cited
  • 2024Gender stereotypes in artificial intelligence within the accounting profession using large language models

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

20 cited
  • 2025Goodbye human annotators? Content analysis of social policy debates using ChatGPT13 cited
  • 2025A Practical Guide and Case Study on How to Instruct LLMs for Automated Coding During Content Analysis12 cited
  • 2023Lowering the Language Barrier: Investigating Deep Transfer Learning and Machine Translation for Multilingual Analyses of Political Texts11 cited
  • 2025Political DEBATE: Efficient Zero-Shot and Few-Shot Classifiers for Political Text8 cited
  • 2024On Measurement Validity and Language Models: Increasing Validity and Decreasing Bias with Instructions7 cited
  • 2026Fine-tuned large language models can replicate expert coding better than trained coders: a study on informative signals sent by interest groups7 cited
  • 2025Towards algorithmic framing analysis: expanding the scope by using LLMs6 cited
  • 2024Measuring climate mitigation policy content in text-as-data: navigating the conceptual challenges5 cited
  • 2024Chasing the authoritarian spectre: Detecting authoritarian discourse with large language models4 cited
  • 2025The Insight-Inference Loop: Efficient Text Classification via Natural Language Inference and Threshold-Tuning2 cited