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Creating Data from Unstructured Text with Context Rule Assisted Machine Learning (CRAML)

Author

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  • Meisenbacher, Stephen
  • Norlander, Peter

Abstract

Popular approaches to building data from unstructured text come with limitations, such as scalability, interpretability, replicability, and real-world applicability. These can be overcome with Context Rule Assisted Machine Learning (CRAML), a method and no-code suite of software tools that builds structured, labeled datasets which are accurate and reproducible. CRAML enables domain experts to access uncommon constructs within a document corpus in a low-resource, transparent, and flexible manner. CRAML produces document-level datasets for quantitative research and makes qualitative classification schemes scalable over large volumes of text. We demonstrate that the method is useful for bibliographic analysis, transparent analysis of proprietary data, and expert classification of any documents with any scheme. To demonstrate this process for building data from text with Machine Learning, we publish open-source resources: the software, a new public document corpus, and a replicable analysis to build an interpretable classifier of suspected "no poach" clauses in franchise documents.

Suggested Citation

  • Meisenbacher, Stephen & Norlander, Peter, 2022. "Creating Data from Unstructured Text with Context Rule Assisted Machine Learning (CRAML)," GLO Discussion Paper Series 1214, Global Labor Organization (GLO).
    • Handle: RePEc:zbw:glodps:1214
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    More about this item

    Keywords

    machine learning; natural language processing; text classification; big data;
    All these keywords.

    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • J41 - Labor and Demographic Economics - - Particular Labor Markets - - - Labor Contracts
    • J42 - Labor and Demographic Economics - - Particular Labor Markets - - - Monopsony; Segmented Labor Markets
    • J47 - Labor and Demographic Economics - - Particular Labor Markets - - - Coercive Labor Markets
    • J53 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Labor-Management Relations; Industrial Jurisprudence
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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