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


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.

 

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.