1. A computer-implemented method for classifying documents in a collection of documents according to their intended readerships, the method comprising: executing program instructions on a computer to select a document in the collection of documents; executing program instructions on the computer to determine an intended readership of the selected document, the readership being: search engine readership; customer readership; or peer readership; and executing program instructions on the computer to classify the selected document as search engine readership, customer readership, or peer readership according to its determined characteristic; and executing program instructions on the computer to repeat the steps of select a document, determine an intended readership of the selected document, and classify the selected document for additional documents in the collection, wherein the determining an intended readership of the document is at least partially based on using at least one of: number and type of stop words contained in the document; and number and type of word associations contained in the document; wherein at least some documents of the collection are classified as search engine readership, at least some documents are classified as customer readership, and at least some documents are classified as peer readership; and wherein the determining an intended readership of the document comprises: preparing a list that includes all stop words; counting the number of words in the document (n); counting the number of stop words in the list that occurred in the document (m); dividing the number of stop words in the list that occurred in the document by the number of words in the document to provide a ratio (m/n); and comparing the ratio (m/n) to a threshold value such that if the ratio is less than the threshold value, the document is classified as having the search engine readership.