System and method for identifying comparables

A computer-implemented system for identifying comparables, the system comprising:

• an electronic storage device;
• and
• a computer processor that is programmed to:
• receive, through an electronic interface, input data from a plurality of electronic data sources for a potential comparable, wherein the electronic data sources include:
• a business description from a commercially available database, financial data of the comparable, and a SIC or NACE code associated with the comparable;
• store, in the electronic storage device, labeled training data for a function classifier, a product classifier, and a service classifier;
• train the function classifier, the product classifier, and the service classifier using the labeled training data;
• determining a function, product, and service of the potential comparable using the corresponding function classifier;
• product classifier, and service classifier;
• receive attributes of a tested party;
• automatically execute a scoring process to calculate a similarity score for the potential comparable, wherein the similarity score represents a similarity between the potential comparable and the tested party;
• and
• automatically generating a recommendation to accept the potential comparable as an acceptable comparable, reject the potential comparable as a rejected comparable, or subject the potential comparable to further review.

A computer-implemented method for identifying comparables, the method comprising:

• (a) receiving, through an electronic interface, input data from a plurality of electronic data sources for a potential comparable, wherein the electronic data sources include:
• (i) a business description from a commercially available database, (ii) financial data of the comparable, (iii) a SIC or NACE code associated with the comparable, and (iv) text obtained from a website of the comparable;
• (b) generating and storing in an electronic storage device labeled training data for a function classifier by labeling historical search results for the potential comparables;
• (c) generating, with a computer processor, probabilistic training data for product and service classifiers using (i) heuristic rules to generate heuristic labels and (ii) an unsupervised label model;
• (d) training, with the computer processor, the function classifier, the product classifier, and the service classifier using the labeled training data and the probabilistic training data;
• (e) determining a function, product, and service of the potential comparable using the corresponding function classifier;
• product classifier, and service classifier;
• (f) receiving attributes of a tested party;
• (g) automatically executing, with the computer processor, a scoring process to calculate a similarity score for the potential comparable, wherein the similarity score represents a similarity between the potential comparable and the tested party;
• (h) automatically generating, with the computer processor, a recommendation to accept the potential comparable as an acceptable comparable or to reject the potential comparable as a rejected comparable;
• and
• (i) automatically generating, with the computer processor, a written justification for the recommendation to accept or reject the potential comparable, wherein the written justification is specific to the potential comparable that has been analyzed.