LogosLink User's Manual
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LogosLink version 2.0.0.2
Conceptual Density Analytics (Ontology)
Conceptual Density analytics show how many ontology elements exist per unit of text.
This is useful to assess how much information is packed into the ontology text content.
Parameters
(none)
Results
Results are given as a tree table.
The tree table shows a hierarchy of ontology element kinds, with some details for each one.
If the ontology has an embedded context, the hierarchy also includes context element kinds.
Data in the tree table is aggregated hierarchically.
For example, the data for "Category" and "Atom" are added up and shown under "Entity".
For each element kind, the following data are shown:
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Element kind.
This indicates the kind of element in the ontology (or the embedded context) for which data is provided.
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Count.
This shows how many elements of the kind exists in the ontology or context.
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Per sentence.
This shows how many elements of the kind exist per sentence in the text content.
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Per word.
This shows how many elements of the kind exist per word in the text content.
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Per NS word.
This shows how many elements of the kind exist per non-stop word in the text content.
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Per char.
This shows how many elements of the kind exist per character in the text content.
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Per WF char.
This shows how many elements of the kind exist per word-forming character in the text content.
Details
n/a
See Also
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last updated on 19/12/2024 13:17