This interactive app demonstrates some machine learning techniques that can be applied to survey data.
Organisations collect lots of data every day through surveys, to get feedback, understand user behaviour, track trends across time etc.
It can be resource intensive to craft a good survey and getting responders to fill in their answers, and we should make full use of the data obtained.
Processing and analysing the data is tedious and time-consuming but it doesn't have to be!
We can employ the help of machines to comb through the data and provide actionable insights.
Techniques include:
Factor Analysis - Clustering responders based on their answers
Topic Modelling - Uncovering topics from text responses
Zero-shot Classification - Classifying text responses into user-defined labels
Sentiment Analysis - Quantifying sentiment of responders' text responses
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