In text classification and clustering, the number of features are normally big, e.g. I currently get are around 5,000 features which is already really small compared to many other text mining tasks. Given I am totally new to visualization, I have no clue about how should I plot the results from text classification and clustering.
For example, in one clustering task, I have three categories, hundreds of documents, and some thousands of features in these texts. After I apply a cluster, e.g. the KMeans cluster from scikit-learn, I have no idea about how to plot these results onto a 2D figure. It is the same for classification, say, I get texts sorted into three categories, but I get no idea how to plot them.
I've tried to learn from some examples, but most ones I found are based on pure data with very few features rather than text.
Question: Could you refer me to any tutorial or paper on either drawing text clustering/classification results or explaining the math part of such visualization. Or any help would be appreciated.