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Machine Learning for Occupation Coding—A Comparison Study
3 references·3 citing·24 second hop
Machine Learning for Occupation Coding—A Comparison Study (2020)Machine Learning for Occupation Coding—A …Text as Data (2019)Text as DataText as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts (2013)Text as Data: The Promise and…Measurement Error in Survey Data (2001)Measurement Error in Survey D…Unpacking the impact of COVID-19 on tourism job demand: a machine learning-driven web scraping analysis in Greece (2025)Unpacking the impact of COVID…occupationMeasurement: A Comprehensive Toolbox for Interactive Occupation Coding in Surveys (2023)occupationMeasurement: A Comp…Automated occupation coding with hierarchical features: a data-centric approach to classification with pre-trained language models (2023)Automated occupation coding w…The Sickness Impact Profile: Development and Final Revision of a Health Status Measure (1981)The MOS 36-ltem Short-Form Health Survey (SF-36): III. Tests of Data Quality, Scaling Assumptions, and Reliability Across Diverse Patient Groups (1994)Self-Rated Health and Mortality: A Review of Twenty-Seven Community Studies (1997)Fostering and Measuring Skills (2014)Household Surveys in Crisis (2015)COVID-19 and Parent-Child Psychological Well-being (2020)Content Analysis: An Introduction to its Methodology. (1984)Structural Topic Models for Open‐Ended Survey Responses (2014)The Content Analysis Guidebook (2017)Content Analysis: An Introduction to Its Methodology (2019)stm : An R Package for Structural Topic Models (2019)Twitter mood predicts the stock market (2011)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)Measuring Economic Policy Uncertainty* (2016)Random forests for global sensitivity analysis: A selective review (2020)Climate Change Concerns and the Performance of Green vs. Brown Stocks (2022)Dissecting climate risks: Are they reflected in stock prices? (2023)The art(fulness) of open-ended interviewing: some considerations on analysing interviews (2001)What does “occupation” represent as an indicator of socioeconomic status?: Exploring occupational prestige and health (2010)GPT-3: Its Nature, Scope, Limits, and Consequences (2020)Potential Impact of Data-Centric AI on Society (2023)Host perceptions of tourism: A review of the research (2013)Pandemics, tourism and global change: a rapid assessment of COVID-19 (2020)Tourism and COVID-19: Impacts and implications for advancing and resetting industry and research (2020)
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
  • 2001Measurement Error in Survey Data1,365 cited
  • 2019Text as Data1,260 cited

Cited by

  • 2023Automated occupation coding with hierarchical features: a data-centric approach to classification with pre-trained language models15 cited
  • 2025Unpacking the impact of COVID-19 on tourism job demand: a machine learning-driven web scraping analysis in Greece4 cited
  • 2023occupationMeasurement: A Comprehensive Toolbox for Interactive Occupation Coding in Surveys1 cited

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