Is it possible to use Text Analytics to extract key entities from a call transcript?

Using Text Analytics to extract key entities from a call transcript is indeed possible. Text Analytics is a feature provided by Azure that is designed to analyze text and extract various forms of information, including key phrases, entities, language, sentiment, and more. When applied to call transcripts, the service can identify and categorize important entities such as people, organizations, locations, and other relevant information within the spoken content that has been converted into text.

This capability allows businesses and developers to gain insights from customer interactions, streamlining operations and enhancing the customer experience by efficiently identifying key topics or salient points discussed in the calls. The versatility of Text Analytics makes it suitable not only for call transcripts but also for a wide array of written and spoken text data, enabling organizations to leverage natural language processing (NLP) capabilities across different types of data sources.