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Validation of Additive Trees in Textual Data Analysis
Correspondence Analysis + Additive Trees + Bootstrap with Python
Implementation based on the example of William Shakespeare's 154 sonnets
Downloadable package containing all the Python code files
Loading the compressed Python code file [folder: "BASIC_TextPanorama.zip"]
The software presented here is designed to visualize a collection of texts (poems, songs, interviews). This collection is further partitioned into text categories. Taking William Shakespeare’s 154 sonnets as our running example, the texts are classified into eight main themes—a classification accepted by several scholars of the work. This standalone program does not rely on existing CA (Correspondence Analysis) software.
Downloadable package containing the 3 data files
Loading compressed data files [folder: "DATA_Shakespeare.zip"]
Overview, example, and commented code
Click below to access the general presentation of TextPanorama and get started using the "Sonnets" example.
[Description_TextPanoramaE]: Introduction to the software and practical implementation using the "Shakespeare's Sonnets" example.
Supplementary material: Four contemporary singer-poets
Downloadable package containing the "DATA_Singer_poets" folder and its 5 subfolders: Aznavour (Fr), Brassens (Fr), Brel (Fr), Leonard Cohen (Fr), and Leonard Cohen (Eng)
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