10. An apparatus for disambiguating organization names, the apparatus comprising: one or more processors; and logic comprising instructions that, when executed by the one or more processors, cause the apparatus to: select multiple names of organizations; extract a first name identified in an electronic content item, wherein multiple different organizations have the first name; for each of the multiple organizations, assemble a corresponding feature vector comprising: a set of name features reflecting use of the first name in the electronic content item; and a set of affiliation features reflecting one or more affiliations of the organization also identified in the electronic content item; execute a model to identify, among the multiple organizations, only one organization to which the electronic content item refers; and make the electronic content item available to a user interested in content items that reference the one organization.
10. An apparatus for disambiguating organization names, the apparatus comprising: one or more processors; and logic comprising instructions that, when executed by the one or more processors, cause the apparatus to: select multiple names of organizations; extract a first name identified in an electronic content item, wherein multiple different organizations have the first name; for each of the multiple organizations, assemble a corresponding feature vector comprising: a set of name features reflecting use of the first name in the electronic content item; and a set of affiliation features reflecting one or more affiliations of the organization also identified in the electronic content item; execute a model to identify, among the multiple organizations, only one organization to which the electronic content item refers; and make the electronic content item available to a user interested in content items that reference the one organization. 17. The apparatus of claim 10 , wherein the logic further comprises instructions that, when executed by the one or more processors, cause the apparatus to categorize the multiple names by, for each name: determining the number of organizations in the multiple organizations; categorizing the name as common if the number of organizations is greater than a threshold; and categorizing the name as uncommon if the number of organizations is less than the threshold.