LogosLink User's Manual · LogosLink version 2.0.0

Lexical/Semantic Collocation Analytics (Corpus)

Lexical/Semantic Collocation analytics shows what concepts appear close to a selected word across the corpus documents. This is done by aggregating results from individual ontology and argumentation model Lexical/Semantic Collocation analytics together.

This is useful to find out major word/concept associations across the corpus.

Parameters

  • Focus word. This is the word that you want to find across the corpus, and for which nearby concepts are to be determined.
  • Max distance. This is the maximum number of words before of after an occurrence of the focus word that will be considered to determine collocated concepts. Typical values are around 5.
  • Agent. If a reference context exists and you select an agent, only the locutions of speakers linked to this agent will be taken into account.
  • Cross over sentence boundaries. If you check this box, the search for collocated concepts will cross over sentence boundaries in ontologies. This will result in more results, but probably less significant, as they will include concepts that are in another sentence as compared to the focus word occurrence.
  • Case sensitive. If you check this box, words that differ only in case (such as "word" and "Word") are treated as different words.

Results

Results are given separately for each kind of applicable dependent models (ontologies and argumentation models), plus aggregated. For each of these, results are presented as some overall data plus a chart.

For all charts, you can select how collocated concepts are sorted from the drop down menu in the toolbar.

Ontologies

The total number of ontologies used by the analytics is shown at the top as "Count". Ontologies are gathered from the following sources:

  • Dependent ontologies of active documents.
Overall data
  • Focus word occurrence count. This is the number of times that the focus word occurs in the texts.
  • Collocation count. This is the number of concepts that were found within the maximum distance of focus word occurrences.
Chart

The chart shows the collocated concepts from the reference ontology along the vertical axis. The horizontal axis shows the distance of each collocated concept to the focus word. Blue bars show distance ranges, from minimum to maximum distance. Red circles show average distances, and their size is proportional to the number of occurrences of the collocated concept.

Argumentation models

The total number of argumentation models used by the analytics is shown at the top as "Count". Argumentation models are gathered from the following sources:

  • Dependent argumentation models of active documents.
Overall data
  • Focus word occurrence count. This is the number of times that the focus word occurs in the texts.
  • Collocation count. This is the number of concepts that were found within the maximum distance of focus word occurrences.
Chart

The chart shows the collocated concepts from the reference ontology along the vertical axis. The horizontal axis shows the distance of each collocated concept to the focus word. Blue bars show distance ranges, from minimum to maximum distance. Red circles show average distances, and their size is proportional to the number of occurrences of the collocated concept.

Aggregated
Overall data
  • Focus word occurrence count. This is the number of times that the focus word occurs in the texts.
  • Collocation count. This is the number of concepts that were found within the maximum distance of focus word occurrences.
Chart

The chart shows the collocated concepts from the reference ontology along the vertical axis. The horizontal axis shows the distance of each collocated concept to the focus word. Blue bars show distance ranges, from minimum to maximum distance. Red circles show average distances, and their size is proportional to the number of occurrences of the collocated concept.

Details

n/a

See Also

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