1. A system comprising: a collector module configured to acquire a plurality of eigenvectors, each having a corresponding eigenvalue, wherein the plurality of eigenvectors are based on a plurality of tokenized electronic documents having unstructured text, the plurality of tokenized electronic documents forming a data matrix, and the unstructured text includes background terms and nonbackground terms; and a dimensional reduction module configured to: classify the plurality of eigenvectors and their corresponding eigenvalues into one or more background eigenvectors and background eigenvalues, and one or more nonbackground eigenvectors and nonbackground eigenvalues, wherein the background eigenvectors correspond to the background terms and the nonbackground eigenvectors correspond to nonbackground terms, acquire a threshold, compare the nonbackground eigenvalues with the threshold, and provide the nonbackground eigenvectors whose corresponding compared nonbackground eigenvalues exceed the threshold, wherein the provided nonbackground eigenvectors are used for clustering the plurality of documents.