This introduction lesson is targeted for people interested to see how to do sentiment analysis and machine learning inside Power BI with different approaches without expensive tailored algorithms.
The aim is to get an overall understanding what can be done, with what cost, and what restrictions there are. So, this is not technical hands-on training and that is why you do not need to have any experience with Power BI, machine learning or with sentiment analysis to attend. This lesson can be delivered as an individual or a group lesson.
Duration of training 0.5 day
Prerequisites No prerequisites
Content of the training day
Module 1: Introduction – What is sentiment analysis and why is it important? What is sentiment analysis and NLP overall? How does sentiment analysis work? For what is it used? Restrictions
Module 2: How to do sentiment analysis in Power BI? Data sources Language Artificial intelligence in Power BI Technical solutions and comparisons Cost perspective
Module 3: Sentiment analysis demo and findings How to connect data to Power BI How to connect Python and run a Python script through Power BI How to connect Power BI to Azure text analytics (Sentiment Score) How to visualize and compare results Summary of findings along with the tests
Module 4: Next steps and a summary Use cases for sentiment analysis Predicting the future with machine learning Sneak peek into Azure ML and Python-based machine learning in Power BI Short summary