January 2016
Intermediate to advanced
337 pages
11h 50m
English
Content preview from Text Mining and Visualization
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Empirical Zipf-Mandelbrot Variation for Sequential Windows within Documents 47
2.5.1.3 Calculate Rank–Frequency Distributions for Most Common Words
within Sequential Windows
Process section C takes the windowed input document and word list of the words of
interest and creates an example set containing an example for each word and an observed
probability for the occurrence of the word in each of the windows within the entire doc-
ument. The example set that is created contains as many examples as there are words of
interest with one attribute called word describing the word and attributes called window n
where n is a number denoting the starting point ...
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