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#102_1_comparison_cloud_top_500_words #102_1_comparison_cloud_top_2000_words #103_commonality_wordcloud

These graphics come from the blog of Benjamin Tovarcis. He answered a machine learning challenge at Hackerrank  which consist on document classification. The dataset consists of 5485

documents distributed among 8 different classes, perfect to learn text mining (with the tm package) and compute wordclouds (wordcloud package). If you need a more basic approach of wordcloud,

have a look to the graph #15. Have a look to the blog of Benjamin for more explanations and thank to him for his contribution !

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3D abline add aggregate animation arrows at axis barplot basics beside bg border boxplot boxwex breaks bty cex cex.axis circular plot cmdscale col color Colors cor cut d3.js dataArt dendrogram density dist factor font ggplot2 hclust hist Histograms horiz hsv ifelse Igraph image ImageMagick Important ! inset jitter labels las lattice layout leafletR legend legend.text levelplot levels library lines lm lty lwd main map Maps mar mfrow mfrox mgp Miscellaneous model mtext mtxt names nlevels oma order package par paste PCA pch pie plot plotly points polygon predict pt.cex pty R radarchart rect reorder rgb rgl Ring scatterplot segments stacked-area table tag_ tag_for_slider testnumber1 text tick Time series title toto tutu type VennDiagram violin-plot width wordcloud xaxt xlab xlim xyplot yaxt ylab ylim zetag

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