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Website owners or SEO companies should keep track of their keyword count by using keyword counting tools.
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The first (Figure 1) represents the ebb and flow of reports of police shootings of blacks1 as measured by keyword counts in eight black newspapers over the last fifty years.
Feedster also has a toggle to show results by "Date" or "Relevance", which is great, although relevance seems to be powered mostly by keyword counting at this point.
The keyword match count between two researchers [10].
A simple example of semantic similarity is the keyword match count between two authors [10].
Thus, a researcher is represented as a set of words, which allow us to compute two features based on semantic similarity: (i) The keyword match count between two researchers [10].
Including a clear topic, keywords, word count, images, and scope of research will streamline the process and result in far less back-and-forth.
Any text message received without a correct keyword will not count as a vote but the message will still be charged.
Each keyword is only counted once, independently of the number of times it occurs within a given OMIM text.
It proceeds from counting keyword frequencies to analyzing their use in the specific context and coding them into categories [ 25].
The SQL language supports counting naturally through the COUNT and DISTINCT keywords, making it possible to exploit the power of SQL to help design the database.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com