There are many attributes to text analysis: words, documents, bigrams, trigrams, n-grams, contextual relationships, latent semantics, and many others. This paper covers a spectral graph method for co-clustering multiple attributes at the same time. Co-clustering is very useful not only because it turns a two step process into a one step process, but it also shows you the relationships between different sets of attributes. This paper goes beyond normal two-mode co-clustering (ie words and documents) into the area of co-clustering multiple modes (ie words, documents, bigrams, trigrams, etc.) all at the same time.