Co-Word Analysis and Concept Mapping
tool (hierarchical clustering option) automatically produces a map (see
below) in which each label stands for a 'nucleus', i.e. a subset of associated
words co-occurring in elementary contexts (sentences) of the corpus . For each
nucleus it is possible identify the elements that form it.
option shows the words in the corpus that share co-occurrence contexts with
is carried out by the computation of an Association Index (the Cosine Coefficient).
sample on the left, the proximity to "terrorist" indicates the degree
of association of each considered word.
considered as a whole are the context of relationships which define the local
meaning of "terrorist" in the corpus.
order to explore the similarity/dissimilarity relationships between the various
speeches, we can use the Correspondence
Analysis. The following chart shows both the speeches and their key-terms
in a bi-dimensional space.
tables, by means of a test value, describe the
significant characteristics of the horizontal axis.
in-depth exploration and detailed check of the elementary contexts (sentences)
in which Bush uses each key-term, we can use the function Concordances.
on each of the selected segments enables us to check each specific occurrence
also possible to export a file with all the segments containing the selected
key-word (see table below)
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