If your organization is collecting a large amount of text-based data, it might be worthwhile to perform machine-based sentiment analysis to help make sense of, and measure these values. Once you've used Natural Language to process this information, you can present the findings on a dashboard. Let's look at what Sentiment Analysis with Python and Dundas BI can offer, how to set it up, and how it performs with real-world data.
About the Author
Jeff Hainsworth is a Senior Solutions Architect at Dundas Data Visualization with over a decade and a half of experience in Business Intelligence. He has a passion for building, coding and everything visual – you know, shiny things! Check out "Off the Charts... with Jeff", his platform for great content on all things analytics, data visualizations, dashboards, and business intelligence. There’s something for everyone!
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