Create your own tree clouds!

Paste your text below, then click on button Send ! Beware, the next user will be able to see your text when he connects to the website. If you want to keep your texts private please use TreeCloud on your computer.

Text :
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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)

9 mots gardés
Generated in 0.0818939208984 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: None French French (Noun, Name of Person) French Noun, Name of Person, Toponym) French (Compound words, Name of Name of Person) English English (Noun, Name of Person) English (compound word, Name of Person) Deutch Deutch (Noun, Name of Person) Spanish Spanish (Noun, Name of Person) Italian Italian (Noun, Name of Person) Portugese Portugese (Noun, Name of Person) Greek Greek (Noun, Name of Person) Serbian (latin) Serbian (latin) (Noun, Name of Person) Serbian (cyrillique) Serbian (cyrillique) (Noun, Name of Person)

Custom stoplist
Custom stoplist:

Add the legend        Language legend: French English Deutch Spanish Italian Portugese Greek Serbian (latin) Serbian (cyrillic)

Add a title:
Write your title here
Title color: black red green blue yellow orange grey violet
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: jaccard liddell dice hyperlex poissonstirling chisquared zscore ms google loglikelihood gmean mi

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:
bvapEj;1; href;1; http;4; hshmhvpqhlbf;2; com;4; url;2; reexzqzuxgvk;2; nqxwrlzcgyqp;2; drqtmvziumps;1;
Distances:
;bvapEj;href;http;hshmhvpqhlbf;com;url;reexzqzuxgvk;nqxwrlzcgyqp;drqtmvziumps; bvapEj;0.000000;0.181818;0.575000;0.384615;0.642857;0.636364;0.687500;0.894737;1.000000; href;0.181818;0.000000;0.500000;0.250000;0.575000;0.548387;0.600000;0.833333;0.974359; http;0.575000;0.500000;0.000000;0.405405;0.102564;0.324324;0.405405;0.405405;0.500000; hshmhvpqhlbf;0.384615;0.250000;0.405405;0.000000;0.447368;0.379310;0.428571;0.705882;0.864865; com;0.642857;0.575000;0.102564;0.447368;0.000000;0.324324;0.405405;0.405405;0.459459; url;0.636364;0.548387;0.324324;0.379310;0.324324;0.000000;0.120000;0.433333;0.636364; reexzqzuxgvk;0.687500;0.600000;0.405405;0.428571;0.405405;0.120000;0.000000;0.428571;0.645161; nqxwrlzcgyqp;0.894737;0.833333;0.405405;0.705882;0.405405;0.433333;0.428571;0.000000;0.320000; drqtmvziumps;1.000000;0.974359;0.500000;0.864865;0.459459;0.636364;0.645161;0.320000;0.000000;
Nexus:
#nexus BEGIN Taxa; DIMENSIONS ntax=9; TAXLABELS [1] 'bvapEj' [2] 'href' [3] 'http' [4] 'hshmhvpqhlbf' [5] 'com' [6] 'url' [7] 'reexzqzuxgvk' [8] 'nqxwrlzcgyqp' [9] 'drqtmvziumps' ; END; [Taxa] BEGIN Distances; DIMENSIONS ntax=9; FORMAT labels=left diagonal triangle=both; MATRIX [1] 'bvapEj' 0.000000 0.181818 0.575000 0.384615 0.642857 0.636364 0.687500 0.894737 1.000000 [2] 'href' 0.181818 0.000000 0.500000 0.250000 0.575000 0.548387 0.600000 0.833333 0.974359 [3] 'http' 0.575000 0.500000 0.000000 0.405405 0.102564 0.324324 0.405405 0.405405 0.500000 [4] 'hshmhvpqhlbf' 0.384615 0.250000 0.405405 0.000000 0.447368 0.379310 0.428571 0.705882 0.864865 [5] 'com' 0.642857 0.575000 0.102564 0.447368 0.000000 0.324324 0.405405 0.405405 0.459459 [6] 'url' 0.636364 0.548387 0.324324 0.379310 0.324324 0.000000 0.120000 0.433333 0.636364 [7] 'reexzqzuxgvk' 0.687500 0.600000 0.405405 0.428571 0.405405 0.120000 0.000000 0.428571 0.645161 [8] 'nqxwrlzcgyqp' 0.894737 0.833333 0.405405 0.705882 0.405405 0.433333 0.428571 0.000000 0.320000 [9] 'drqtmvziumps' 1.000000 0.974359 0.500000 0.864865 0.459459 0.636364 0.645161 0.320000 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:
((((bvapEj,href),hshmhvpqhlbf),(url,reexzqzuxgvk)),(,((http,com),(nqxwrlzcgyqp,drqtmvziumps))));