Bayesian stratified sampling to assess corpus utility

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This paper describes a method for asking statistical questions about a large text corpus. The authors exemplify the method by addressing the question, ``What percentage of Federal Register documents are real documents, of possible interest to a text researcher or analyst?`` They estimate an answer to this question by evaluating 200 documents selected from a corpus of 45,820 Federal Register documents. Bayesian analysis and stratified sampling are used to reduce the sampling uncertainty of the estimate from over 3,100 documents to fewer than 1,000. A possible application of the method is to establish baseline statistics used to estimate recall rates ... continued below

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15 p.

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Hochberg, J.; Scovel, C.; Thomas, T. & Hall, S. December 1998.

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Description

This paper describes a method for asking statistical questions about a large text corpus. The authors exemplify the method by addressing the question, ``What percentage of Federal Register documents are real documents, of possible interest to a text researcher or analyst?`` They estimate an answer to this question by evaluating 200 documents selected from a corpus of 45,820 Federal Register documents. Bayesian analysis and stratified sampling are used to reduce the sampling uncertainty of the estimate from over 3,100 documents to fewer than 1,000. A possible application of the method is to establish baseline statistics used to estimate recall rates for information retrieval systems.

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15 p.

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OSTI as DE99000656

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  • 6. workshop on very large corpora, Montreal (Canada), 15-16 Aug 1998

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  • Other: DE99000656
  • Report No.: LA-UR--98-1922
  • Report No.: CONF-980847--
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 291118
  • Archival Resource Key: ark:/67531/metadc674702

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Office of Scientific & Technical Information Technical Reports

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  • December 1998

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  • July 25, 2015, 2:20 a.m.

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  • Feb. 25, 2016, 1:42 p.m.

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Hochberg, J.; Scovel, C.; Thomas, T. & Hall, S. Bayesian stratified sampling to assess corpus utility, article, December 1998; New Mexico. (digital.library.unt.edu/ark:/67531/metadc674702/: accessed November 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.