Hi,
We are currently ingesting data into Data Lake. To extract topics and sentiment scores we are leveraging the Transcript search API(/api/v2/speechandtextanalytics/transcripts/search)
which has a limitation of 1000 records per request. We have around 7000-8000 conversations happening each day. To limit the results, we are using the transcript_metadata type and searching the metadata fields on transcripts grouped by conversation. However, in order to retrieve all required data, we would need to invoke the API at 1-hour intervals throughout the day so that we don't run into errors.
We are exploring more efficient approaches to overcome this limitation. Is there any asynchronous API available to retrieve the topic and sentiment data or any best practices to streamline this data extraction process without exceeding the API limitations?
Thank you!
#API/Integrations------------------------------
Sahithi Reddy Arkit
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