Topic Models from Reviews

This workflow addresses the problem of review topics.
Block 1 performs the data preparation on review texts. Block 2 applies the LDA algorithm and optimizes its paramters
Block 3 applies the LDA algorithm with optimized paramters and displays the LDA topic probabilities and the average number of stars by topic
Block 4.Estimating importance of topics via linear regression (KNIME) and polynomial regression (R)

External resources

• 10.1016/j.jbusres.2021.08.036