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Applying Human Language Technology in Survey Research

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Abstract

The term Human Language Technology (HLT) refers to a broad class of methods for automatically analyzing speech and text. This may include analysis of the topics, sentiments, relationships, or other subjects represented in the text. While early attempts at developing this technology were crude and generally ineffective, modern computing power and new methods have brought these techniques to the brink of broad application in many areas. This chapter overviews HLT and discusses the promises and pitfalls of applying these methods to open-ended responses to questions in survey data. While challenges still remain, the automated text analysis of open-text responses provides a potentially substantial opportunity for researchers.

Keywords

  • Human Language Technology (HLT)
  • Survey Researchers
  • Open-response Data
  • Automatic Text Analysis
  • Survey Context

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Correspondence to Mark Liberman .

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Liberman, M. (2018). Applying Human Language Technology in Survey Research. In: Vannette, D., Krosnick, J. (eds) The Palgrave Handbook of Survey Research . Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-54395-6_17

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