Context Items
We recently introduced Context Items, which help you better understand the sections of a transcript.
We recommend using these features when you use the Brief summary_type
, but these features can be added to any summary_type
.
Context features TL;DR
Context features provide additional context to Wordcab summaries, focusing on the most important aspects of the original transcript.
This will make it easier for readers to understand the main points and takeaways without reading the entire transcript (or even the entire summary).
These are currently five different context items you can choose to extract. You can add a specific context item or multiple items at once. Feel free to experiment with what fits your requirements.
After a summary is complete, you will get context items objects alongside summary bullets. This means that on a long transcript, the summary will be split into multiple parts (bullets), and each part will have its corresponding context object attached.
We will use the same sample transcript we used to illustrate the different summary types. You can find it on Wordcab GitHub.
Issue
This item represents the main problem or concern that the section of transcripts aims to address.
e.g.:Not sure if they can afford the new map.
In this case, the issue is that the person is unsure if they can afford the new map.
Purpose
This item describes the primary goal or objective of the transcript.
e.g.:Give advice on the cost of an update.
Here, the purpose is to advise the caller on the cost of updating their map.
Keywords
This item is an array of important words or phrases relevant to the document's content.
e.g.: [ "$99 plus shipping and tax", "2009 nissan altima", "special offers" ]
Next Steps
This item is the recommended next action conveyed by one or more speakers.
e.g.: { "text": "Place the order.", "associated_speakers": [ "Lauren", "Sam" ] }
The text
field within this object specifies the action to take: "Place the order."
The associated_speakers
field is an array of the people involved in the next steps, in this case, "Lauren" and "Sam."
Discussion Points
This item is an array of notable topics discussed in the document.
e.g.: [ "Using a Visa", "Getting three years worth of updates for the price of one", "Special offers" ]
In this example, the discussion points include "Using a Visa," "Getting three years' worth of updates for the price of one," and "Special offers".
Updated over 1 year ago