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Measures of text similarity have been used for a long time in natural language processing applications and related areas.
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An early one is eTBlast [ 3], which uses the same principle with a more elaborated measure of text similarity that takes into account word frequencies and word order in the text.
Measures of user satisfaction, quantity of text produced, and quality of writing produced, were taken.
The MI method measures features of text by computing similarity of word terms 'w' and category 'c'c
The re-projection error of the feature points is also another measure of precision: (text {ReprErr}=frac {1}{N}sum _{i=1}^{N}left [left Vert q_{i}-hat {q_{i}}right Vert ^{2}/left Vert hat {q_{i}}right Vert ^{2}right ]).
Overall, these text-mining results were impressive when viewed in the context of the CTD curation process, because measuring the effectiveness of text mining at CTD can be understated.
(6) The similarity between the query and a folder can then be expressed as a reformulation of the cosine similarity measure in terms of text sources and component documents.
Comparable results were obtained with subsets of as few as 69 of the markers ranking higher for different measures of ancestry informativeness (Text S2).
There appears to be the need for more empirical studies that directly compare these two measures, although the type of text is not a trivial matter here, and reading a written-to-be-read text aloud can no longer be viewed as typical of spoken English.
But he also has the intelligence to take the measure of his texts.
Jim Caldwell measures it by the number of text messages he received Sunday as he made his debut as head coach of the Indianapolis Colts.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com