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Arthur Spirling, "Text Preprocessing for Unsupervised Learning: Why It Matters, When It Misleads"

  • methodscolloquium
  • Oct 20, 2017
  • 1 min read

Updated: Oct 24, 2020


International Methods Colloquium talk on October 20, 2017.

Arthur Spirling of NYU presented a talk entitled "Text Preprocessing for Unsupervised Learning: Why It Matters, When It Misleads, and What to Do about It." The presentation slides are available at this link.

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This material is based upon work supported by Wake Forest University and previously supported by Rice University and the National Science Foundation under Grant No. SES-1423825. The IMC is also sponsored by Springer Publishing.

 

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. 

 

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