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Communications Mining User Guide
Last updated Nov 27, 2024

General fields (previously entities)

Note:

Entities as they were previously known are now General fields, one of two kinds of fields in Communications Mining™.

General fields are not associated to a certain label, while extraction fields are. These extraction fields are predicted based on their linked labels.

General Fields are additional elements of structured data which can be extracted from within the messages. General Fields include data such as monetary quantities, dates, currency codes, organisations, people, email addresses, URLs, as well as many other industry specific categories.

The below screenshot shows a message containing three predicted general fields; two monetary quantities and a policy number:

An example email message sent to an insurance underwriting mailbox containing structured data general fields: two monetary quantities and a policy number

An example email message sent to an insurance underwriting mailbox containing structured data general fields: two monetary quantities and a policy number

Much like labels, predicted general fields can be accepted, rejected, or assigned by highlighting a string of text and choosing the correct general field from the list in the modal (see here for how). Both of these actions will provide training signals to the general field extraction model, which will improve its understanding of that general field type.

Enabling general field extraction and selecting the general fields to extract are confirmed either during the creation of the dataset or via the settings section in the Dataset settings page.

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