#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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