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Chapter 2 Review, Continued, Part 2 — "Automatic Discovery of Similar Words"

Chapter 2 Review, Continued, Part 2 — "Automatic Discovery of Similar Words"

(Direct continuation of yesterday’s post, w/r/t Senellart & Blondel on “Automatic Discovery of Similar Words” in Survey of Text Mining II. I give the references that cite, which I discuss in this post, at the end of the post.) In Chapter 2’s revieww of previous methods and associated literature, Senellart & Blondel start with banal and get progressively more interesting. The one thing I found interesting in the first model that Senellart and Blondel discussed was that the model was…

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Follow-on Thoughts: Clustering Algorithm Improvements for Text-based Data Mining

Follow-on Thoughts: Clustering Algorithm Improvements for Text-based Data Mining

A good night’s sleep is excellent for clearing away mental cobwebs, and has given me more perspective on Chapter 1, “Cluster-Preserving Dimension Reduction Methods,” by Howland and Park in Survey of Text Mining II: Clsutering, Classification, and Retrieval (ed. by Berry & Castellanos). If you will, please recall with me that the Howland & Park work proposed a two-step dimensionality reduction method. They successfully reduced over 20,000 “dimensions” (of words found in the overall corpus collection) to four dimensions, and…

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