Typical singular values of a term-document matrix based on encyclopedia articles.
A numeric vector of length 2623.
The data were obtained by singular value decomposition of a term-document matrix representing 100,000 Wikipedia articles, with 2623 target terms from a Basic English vocabulary. Articles were truncated to the first ca. 500 words. Occurrence frequencies of the target terms were log-scaled and rows of the matrix were L2-normalized before applying the SVD.
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