The first concept to understand is that of a job.
A job represents a specific task initiated by the user, just as summarizing a call or extracting questions and answers from a transcript. A job is characterized by parameters and pipelines passed to the API.
A job can be created by two tasks: Summarization or Extraction. The first is used to summarize a given transcript, while the second is used to extract useful information from a given transcript.
A job is created when the user initiates either a Summarization task or an Extraction task.
Summarization is the task of condensing the most important information from an audio file or transcript and rewording it to provide a user with a much shorter, more readable version of the original source material.
Note that the Wordcab API only generates abstractive summaries. To start a summarization job, you need to send a POST request to the
/summarize endpoint (see Start Summary).
Extraction is the process of extracting useful information from a given transcript. You can extract the following information:
- Emotions: The emotions detected in the transcript for each utterance.
- Topic changes: The transcript points where a topic change occurs.
- Questions/Answers: The questions and answers detected in the transcript.
- Talk ratios: The talk ratios detected in the transcript for each speaker.
To start an extraction job, you need to send a POST request to the
/extract endpoint (see Start Extract).
Updated 10 months ago
⏩ We will talk about Transcripts.