Posts Tagged: Text analytics

Part 4: Topic Modelling, an approach to Text Analytics

This is the 4th article in my series of Text Analytics posts explaining popular approaches to feedback analysis. Last week, we talked about text categorization, a Machine Learning approach that requires training data. We concluded that it can’t detect emerging themes in people’s feedback and that it’s only as accurate as the supplied training data. Today, we’ll discuss topic modelling, also a Machine Learning approach, but an unsupervised one, which means that this approach learns…

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3 Best Practices for Coding Open-Ended Questions

Open-ended survey questions often provide the most useful insights, but if you are dealing with hundreds or thousands of answers, summarising them will give you the biggest headache. The answer lies in coding open-ended questions. This means assigning one or more categories (also called codes) to each response. But how to go about it?

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