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Short Samples:
A Brief History of the Internet (M. Hart & M. Fuller) (Last update: May 3th, 2003. The version of T-LAB used was 3.0) |
T-LAB functions used in this short example are those highlighted in red in the image on the right. For futher information about T-LAB functions click here. To consult more samples click here. To download the demo click here. |
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The
Co-Word Mapping option automatically produces the
following navigable map.
(N.B.: Starting from 5.0 version, the Co-Word Mapping
tool is no more available. Its functionalities are now included in the Co-Word
Analysis and Concept Mapping tool.)
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In the
map, each box is marked by a key-word, the most frequent among a small subset
of other words that occur with it in the same sentences (co-occurrences) .
In statistical
terms, the bi-dimesional space come of the first two factors extracted by correspondence
analysis.
For each subset it is possible to identify the elements that form it. See the following samples, obtained by a click on the corresponding labels.
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| For each key-term you can also possible to explore the context of relationships which define its local meaning ( Associations option ). |
For each
graph, a table shows the data used to create it.
Column by column the reading
keys are as follows:
- LEMMA_B = lemmas associated whit "central" lemma (or LEMMA_A; see
"etexts");
- COEFF = cosine coefficients;
- OCC_B = occurrences of each LEMMA_B;
- ASSOC_AB = co-occurrences of lemmas "A" and " B ".
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For each corpus word the Concordances option allows you to check what its occurrence contexts are (the elementary contexts) . All togheter:
Or one-by-one:
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