Identifying anonymized resume corpus data pertaining to the same individual

A system for identifying data in the anonymized resume corpus that pertains to the same individual, comprising:

• an anonymized resume corpus data identifier comprising one or more computing devices, and an anonymized resume corpus data identification computer program having a plurality of sub-programs executable by said computing device or devices, wherein the sub-programs configure said computing device or devices to,
• access an anonymized resume corpus,
• for each resume in the corpus,
• extract summary-level information from the resume,
• segment the resume into snippets, and
• assign the extracted summary-level information to each snippet segmented from the resume, and
• cluster the resume snippets into groups, wherein within each group the resume snippets potentially pertain to the same individual, said clustering comprising,
• first employing a textual similarity measuring technique to cluster the snippets into groups that potentially pertain to the same individual, and
• then, for each group using at least some of the summary-level information assigned to each snippet in the group to eliminate snippets not likely to be associated with the same individual as the other snippets in the group.

A computer-implemented process for identifying data in the anonymized resume corpus that pertains to the same individual, the process comprising the actions of:

• using one or more computing devices to perform the following process actions, the computing devices being in communication with each other via a computer network whenever a plurality of computing devices is used:
• accessing an anonymized resume corpus,
• segmenting the corpus into resume snippets, and
• clustering the resume snippets into groups, wherein within each group the resume snippets potentially pertain to the same individual.