Organisations sit on vast amounts of textual data, such as customer feedback, reviews, and free-text comments, but extracting meaningful insight from that data is often slow and difficult. This session shows how Azure AI Language Studio can be used to analyse text quickly and at scale, turning unstructured text into actionable insight.

The session focuses on practical text analytics techniques, including key phrase extraction, sentiment analysis, and opinion mining. Using a real dataset of customer reviews, attendees will see how these AI capabilities can be applied to understand customer sentiment, identify common themes, and uncover what users are really saying.

Through live demonstrations, we will use Python to submit text data to the Azure AI Language Studio APIs, retrieve enriched results, and then feed those outputs into Power BI. The session concludes by visualising the analysed data in dashboards that break insights down by rating, location, and other dimensions, showing what a realistic end-to-end text analytics solution can look like.

This session is aimed at data professionals who want to understand how AI can be used to analyse unstructured text and integrate those insights into existing analytics and reporting platforms.