Patent Document ID: 8671040
Application ID: 12842440
Patent Flag: 1

Claim One:
1. A method of determining credit risk of a company comprising: assigning, using a processing device, an objective descriptor to each document included in a first set of documents, the objective descriptor based on a historical event or a quantitative metric, the objective descriptor being assigned to each document included in the first set of documents by assigning a date value, an entity identifier and a label value to each document included in the first set of documents, the date value representing a date upon which a document included in the first set of documents is first accessible, the entity identifier representing an entity associated with the document included in the first set of documents, the label value representing occurrence of the historical event, the historical event being associated with the entity; assigning, using the processing device, at least one feature vector to each document in the first set of documents, the at least one feature vector being an N-dimensional vector of numerical features each representing identified semantic content associated with a document to which the at least one feature vector is assigned, the at least one feature vector being derived from text of the document to which the at least one feature vector is assigned, the identified semantic content comprising linguistic properties associated with the document to which the feature vector is assigned; determining, using the processing device, a relationship between a plurality of assigned objective descriptors and a plurality of assigned feature vectors by applying the at least one feature vector to a statistical prediction algorithm; assigning, using the processing device, a predictive descriptor to each document of a second set of documents not included in the first set of documents based on the relationship, the predictive descriptor indicative of a future event relating to at least one of a company default, company bankruptcy, loss given default, credit spread, rating agency rating change, and equity price movement; generating, using the processing device, a signal based on at least one predictive descriptor of the second set of documents; generating the at least one feature vector based on textual content, metadata or an indicator associated with the document included in the first set of documents; selecting randomly a pre-determined number of documents from the first set of documents to form a plurality of subsets of documents, each document in the plurality of subsets including the at least one feature vector and an associated first label value or an associated second label value different from the first label value; computing a metric value for each feature of the at least one feature vector by determining if the feature describes the associated first label value or the associated second label value; and computing a rank value for each feature of each subset of documents by aggregating a plurality of computed metric values for each feature across the plurality of subsets of documents.