12. A method for identifying information about a particular entity comprising: providing a request to one or more data sources using one or more search terms to acquire electronic documents having unstructured text, that are selected based on the one or more search terms from a plurality of terms related to the particular entity; tokenizing the acquired documents to form a data matrix; calculating a plurality of eigenvectors, using the data matrix and the transpose of the data matrix; acquiring a variance for determining the amount of intra-clustering between the documents; and clustering the acquired documents using some of the eigenvectors and the variance.
12. A method for identifying information about a particular entity comprising: providing a request to one or more data sources using one or more search terms to acquire electronic documents having unstructured text, that are selected based on the one or more search terms from a plurality of terms related to the particular entity; tokenizing the acquired documents to form a data matrix; calculating a plurality of eigenvectors, using the data matrix and the transpose of the data matrix; acquiring a variance for determining the amount of intra-clustering between the documents; and clustering the acquired documents using some of the eigenvectors and the variance. 16. The method of claim 12 , wherein calculating a plurality of eigenvectors, using the data matrix and the transpose of the data matrix comprises: constructing a guess eigenvector; multiplying the guess eigenvector by the transpose of the data matrix to obtain a first vector; multiplying the guess eigenvector by the transpose of the data matrix to obtain a first vector; multiplying the first vector with the data matrix to obtain a second vector; and providing the second vector if it is an eigenvector.