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Functional Applications of Text Analytics Systems (Hardcover)
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Functional Applications of Text Analytics Systems (Hardcover)
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Text analytics consist of the statistics about a text element,
which includes the word count, the word histogram, and the word
frequency histogram. Most text documents of value are related to
other-sometimes many other-documents, and so analytics describing
the relative frequency of terms in a document compared to its peers
are important for defining key words (tagging, labeling, indexing),
search-responsive terms (query terms), and compressed versions of
the documents (key words, summary, etc.).This clearly written text
explains the functional applications of search, translation,
optimization, and learning with regard to text analytics.
Generation of analytics is aided by a hybrid, ensemble, or other
combinatorial approach in which two or more effective analytic
processes are used simultaneously, and their outputs combined to
form a better "consensus". Additional value to the preservation of
the information is provided through these methods. Also, since they
encompass capabilities of two or more knowledge-generating systems,
they can create a "superset" of access points to the data
generated. The book also describes the role of functional
approaches in the testing and configuration of these systems.
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