These taxonomies work with resumes in any language by mapping values to a single, shared framework. This eliminates the hassle of cleaning and normalizing data, making it easier to analyze, report, and integrate into other processes.

​
Configurable Taxonomies

To change the taxonomy from the default setting noted below, get in touch with Affinda.

​
Skills

This Lightcast skills taxonomy works across all 50+ languages providing standardised data using a best-in-class taxonomy. By default, mapped skills are returned in English. We can return mapped values in the original resume’s language. To enable this, please get in contact with Affinda.

​
Job titles

By default, the NextGen Resume Parser does not map job titles to any taxonomy and returns only the extracted raw string; however, Affinda can configure the following taxonomies on your account:

​
Occupation Classification

All three Occupation Classifications are available in the API response automatically.

​
Custom taxonomies

Additional taxonomies that customers use internally that are not available as pre-configured options can also be added, ensuring that customers get the data in the format they need. Custom taxonomies can be defined for fields that already have pre-configured options (e.g. skills, job titles), but also any other text field (e.g. work organisations). For example, this means customers may add their own internal skills taxonomy that is in place of Lightcast or ESCO, or they may wish to map against a defined list of universities that are relevant to the customer. For more information on specifying a custom taxonomy, please get in touch with Affinda.