Creates a 2-dimensional map visualizing the tokens in a Text Analysis output based on their frequency patterns. The area of the markers is proportional to the number of respondents who used the token, whereas the position is determined by the selected dimension-reduction method (e.g., t-SNE, PCA, MDS).
This function requires that an existing Text Analysis - Advanced - Setup Text Analysis object.
The output generated by this function will provide a bubble plot, like this:
Options
Text analysis output Input data for this analysis. It can be created using Text Analysis - Setup Text Analysis.
Algorithm The dimension reduction method used to group and position the tokens. Details about parameters controlling the algorithm can be found in Dimension Reduction - Principal Components Analysis and Dimension Reduction - t-SNE.
Minimum frequency Threshold number of times a token must occur before being included in the analysis.
Label font family Font family of labels in scatterplot.
Label font size Font size of labels in scatterplot.
Maximum number of labels Specify the number of points showing labels. To avoid too many labels making the chart unreadable, the rest of the labels can be seen by hovering over the points.
Marker opacity Opacity of the markers ranging from 0 (transparent) to 1 (opaque).
Maximum marker diameter This controls how the size of the markers will be scaled.