Automated narratives of interactive communications

A system comprising:

• at least one processor;
• and
• memory storing instructions that, when executed by the at least one processor, causes the system to perform operations including:
• receiving a transaction with a plurality of scoring units,
• obtain sequencing metadata for the plurality of scoring units,
• obtaining a prediction from a reason detector classifier for at least one scoring unit of the plurality of scoring units indicating the scoring unit contains a reason for the transaction by providing the sequencing metadata and the plurality of scoring units to the reason detector classifier,
• analyzing the scoring unit to generate a reason tag for the scoring unit, and storing the reason tag as metadata for the scoring unit.

A method comprising:

• receiving a transaction with a plurality of scoring units;
• obtain sequencing metadata for the plurality of scoring units;
• obtaining a prediction from a reason detector classifier for at least one scoring unit of the plurality of scoring units indicating the scoring unit contains a reason for the transaction by providing the sequencing metadata and the plurality of scoring units to the reason detector classifier;
• analyzing the scoring unit to generate a reason tag for the scoring unit;
• and
• storing the reason tag as metadata for the scoring unit.

A method comprising:

• receiving a transaction, the transaction including scoring units;
• normalizing timestamps associated with the transaction;
• identifying silence special events in the transaction;
• generating metadata for the silence special events, the metadata including, for a silence special event of the silence special events, a silence type, a duration, and a start value based on the normalized timestamps;
• generating metadata for the scoring units of the transaction based on the metadata for the silence special events;
• generating metadata for a participant based on the metadata for the silence special events;
• generating metadata for the transaction based on the metadata for the silence special events;
• and
• using the metadata for the participant and the metadata for the transaction as input to a classifier to obtain a tag for the transaction from the classifier.