Sentiment analysis is a special case of text mining that is increasingly important in business intelligence and social media analysis. In this session, we’ll build an experiment for sentiment analysis of conversations in Microsoft Teams to measure the overall feeling of engagement of your teams. For example, sentiment analysis of comments can help organisations monitor appreciation and utilisation of their IP (Intellectual Property), or help users identify opinion polarity before accessing a resource. The output predictions can be aggregated over specific tags containing a certain keyword, in order to find out the overall sentiment for each element of the taxonomy, and lastly consumed by analytical tools such as Power BI.
Stefano Tempesta is CTO at SXiQ, Microsoft Regional Director, MVP on Azure, AI and Business Applications, and co-founder of 365 Community, a non-profit organization whose mission is to empower communities around the world with better ICT processes for customer relationship management and customer service, using modern technology. A technology manager with 20 years of international experience, entrepreneur CTO and advisor for start-ups in Australia, Singapore and Switzerland, Stefano is an author, a public speaker, a blogger, an event organizer and an ambassador of beautiful software. His interests extend to microservice architectures, blockchain, IoT and A.I. related technologies.
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