Text2Landscape: Visualize a Text in Multiple Spaces with R — Force-directed networks, Biofabric, Word Embeddings, Principal Component Analysis and Self-Organizing Maps
First Visualizations: Frequencies Let us first visualize word frequencies. We can get these frequencies with the quanteda package, which implies transforming the column of lemmas (text.lemmas$lemma) into a quanteda tokens object, then to a document-feature matrix. Doing so, we only retain significant parts of phrases (nous, proper nouns, verbs and adjectives). This only partially spares us the tas
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