NOTICE: The following example has been realized by using an old version of T-LAB (3.0). The latest version (T-LAB 7.0) includes new tools and a new charting system. Click here to find out more. 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.

Automatically Co-Word Mapping function produces a 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.)

In the map, each label stands for a core, i.e. a subset of "associated words" co-occurring in the elementary contexts (sentences) of the corpus. For each core it is possible to identify the elements that form it. See the following samples, obtained by clicking on the corresponding label.

RIGHTS CHILD NATIONAL PARENT

The Associations function shows the words in the corpus that share co-occurrence contexts with selected key-terms.
The selection is carried out by using a calculated Association Index (the Cosine Coefficient).
In the sample on the left, the proximity to "parent" indicates the degree of association of each considered word.
The words considered as a whole form the context of relationship which define the local meaning of "parent" in the corpus.

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 "parent");
- COEFF = cosine coefficients;
- OCC_B = occurrences of each LEMMA_B;
- ASSOC_AB = co-occurrences of lemmas "A" and " B ".