LogosLink User's Manual · LogosLink version 2.0.2

Denotation Analytics (Argumentation Model)

Denotation analytics show what concepts are denoted by different terms in the text.

This is useful to determine what terminology is being used to refer to concepts, and find out what concepts are the most referenced.

Parameters

  • Speaker. If you select a speaker, only the locutions of this speaker will be taken into account.
  • Agent. If the argumentation model has an embedded context and you select an agent, only the locutions of speakers linked to this agent will be taken into account.
  • Case sensitive. If you check this box, terms that differ only in case (such as "word" and "Word") are treated as different.

Results

Results are given as three different tree tables.

By default, only concepts having denotations are shown, but you can change this by using the button on the toolbar. You can also use the , and buttons on the toolbar to show or hide types, instances and non-entities, respectively.

Denotations

The tree table shows a hierarchy of concepts, locutions and denotations, with some details for each one.

For each concept, the following data are shown:

  • Denotation count. This shows the number of denotations for the concept.
Categories

The tree table shows a hierarchy of categories, with some details for each one.

For each category, the following data are shown:

  • Direct denotation count. This shows the number of denotations referring to the category itself, any of its features, a direct instance of the category, or a facet of a direct instance of the category.
  • Direct locution count. This shows the number of locutions referring to the category itself, any of its features, a direct instance of the category, or a facet of a direct instance of the category.
  • Accumulated denotation count. This shows the number of denotations referring to the category or any sub-categories, any of their features, a direct or indirect instance of the category, or any of their facets.
  • Accumulated locution count. This shows the number of locutions referring to the category or any sub-categories, any of their features, a direct or indirect instance of the category, or any of their facets.

The tree table is organised according to the super-typing hierarchy in the embedded ontology.

Terms

The tree table shows a hierarchy of concepts and terms, with some details for each one.

For each term, the following data are shown:

  • Denotation count. This shows the number of denotations using the term for the associated concept.
  • Locution count. This shows the number of locutions using the term for the associated concept.

Details

Denotations are found in the text in relation to the embedded ontology.

See Also


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