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And even the most ardent fans of text mining warn that the software is useless without human brain power.
The term semantics has been seen in a vast sort of text mining studies.
The present article describes the range of text mining techniques that have been applied to scientific documents.
This paper describes a series of text mining techniques that conforms to the analytical process used by patent analysts.
Moreover, this study demonstrates the applications of text mining techniques to analyze the online contents regarding CBLS.
The application of text mining methods in information extraction of biomedical literature is reviewed by Winnenburg et al. [24].
They point out that the application of text mining techniques can reveal patterns related to people's interaction behaviors.
Stavrianou et al. [15] present a survey of semantic issues of text mining, which are originated from natural language particularities.
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This research assumes that addressing these aspects of text-mining have an impact on the quality of the achieved results.
Another active challenge is the incorporation of text-mining systems into the curation pipeline (22).
Addressing usability of text-mining systems is a novel aspect of this task.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com