Azure: sentiment for recordings/text

Greetings,

I'm looking at different approaches to do text sentiment on recordings from a call center. I'm hopping some one can point me to some demos of the best approach.

I looked at a demo of Azure Text Analytics API and it looks way cool. I'm hoping someone can show me a demo of doing this with the Media Services API. I found what's below which might be what I really want, but I'm not sure if there is a demo of who to set this up.

Thanks for any direction,

• Mike Lawrence

https://zcusa.951200.xyz/en-us/azure/media-services/latest/analyzing-video-audio-files-concept

Call centers – Even with the advent of social media, customer call centers still facilitate a large percentage of customer service transactions. Encoded in this audio data is a wealth of information about customers that can be analyzed to improve product roadmaps and also train call center employees to achieve higher customer satisfaction. By using Azure Media Indexer, customers are able to extract text and build a search index and dashboards to extract intelligence around most common complains, source of complains and other such relevant data.

Analyze recorded videos or audio content. For example, to achieve higher customer satisfaction, organizations can extract speech-to-text and build search indexes and dashboards. Then, they can extract intelligence around common complaints, sources of complaints, and other relevant data.