Create your own tree clouds!

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Text :

You can move the labels by drag-and-drop. Click it to make it come back to its original location.
The tooltip gives the number of occurrences of the word.

NEW VERSION 2017 (2017/11/17)

6 mots gardés
Generated in 0.0782670974731 seconds. Link to the picture at SVG format (Firefox can read them, otherwise a plugin is available at http://www.adobe.com/svg/)

Parameters

For each language a basic analysis is proposed in which only a stoplist of grammatical words is used. Other types of analyses may be proposed for some languages: categories in brackets are those that you wish to be included in the tree. The custom stoplist is added to those already applied according to the chosen language/analysis option.

Language/analysis:

Custom stoplist
Custom stoplist:

Add the legend Language legend:

Add a title:

Title color:
The parameters below should be appropriate by default. To know what they mean please use manuel d'utilisateur de TreeCloud.
Picture width :
Picture height :
Maximum number of words :
Minimum number of words : (mettre 0 pour revenir au nombre max de mots)
Width of the sliding window :
Cooccurrence distance formula:

Files generated while building the tree cloud

The text areas below contain files which could be useful for you.

Frequencies contains, for each frequent word, its number of occurrences, it can be used to build a simple word cloud.
Distances contains the matrix distance representing cooccurrence information between the words, in the CSV format.
Nexus contains the Nexus file which can be provided as input to the SplitsTree software, to compute the tree using other algorithms.
Newick contains the tree corresponding to the tree cloud, in a natural format for phylogenetic tree processing software.

Frequencies:

http;1;
Gardai;1;
assistance;1;
children;1;
perception;1;
able;1;

Distances:

;http;Gardai;assistance;children;perception;able;
http;0.000000;0.709677;0.974359;1.000000;1.000000;1.000000;
Gardai;0.709677;0.000000;0.571429;0.974359;1.000000;1.000000;
assistance;0.974359;0.571429;0.000000;0.709677;0.787879;0.974359;
children;1.000000;0.974359;0.709677;0.000000;0.181818;0.571429;
perception;1.000000;1.000000;0.787879;0.181818;0.000000;0.461538;
able;1.000000;1.000000;0.974359;0.571429;0.461538;0.000000;

Nexus:

#nexus

BEGIN Taxa;
DIMENSIONS ntax=6;
TAXLABELS
[1] 'http'
[2] 'Gardai'
[3] 'assistance'
[4] 'children'
[5] 'perception'
[6] 'able'
;
END; [Taxa]
BEGIN Distances;
DIMENSIONS ntax=6;
FORMAT labels=left diagonal triangle=both;
MATRIX
[1] 'http'  0.000000 0.709677 0.974359 1.000000 1.000000 1.000000
[2] 'Gardai'  0.709677 0.000000 0.571429 0.974359 1.000000 1.000000
[3] 'assistance'  0.974359 0.571429 0.000000 0.709677 0.787879 0.974359
[4] 'children'  1.000000 0.974359 0.709677 0.000000 0.181818 0.571429
[5] 'perception'  1.000000 1.000000 0.787879 0.181818 0.000000 0.461538
[6] 'able'  1.000000 1.000000 0.974359 0.571429 0.461538 0.000000
;
END; [Distances]

BEGIN st_Assumptions;
	disttransform=NJ;
	treestransform=TreeSelector;
	splitstransform=EqualAngle UseWeights = false RunConvexHull = true DaylightIterations = 0 OptimizeBoxesIterations = 0 SpringEmbedderIterations = 0;
	SplitsPostProcess filter=dimension value=4;
	autolayoutnodelabels;
END; [st_Assumptions]

Newick:

((http,Gardai),(,(assistance,((children,perception),able))));