0 / 0
Hotel satisfaction example for Text Analytics (SPSS Modeler)

Hotel satisfaction example for Text Analytics

SPSS Modeler offers nodes that are specialized for handling text.

In this example, a hotel manager is interested in learning what customers think about the hotel.

Figure 1. Chart of positive opinions
Chart of positive opinions
Figure 2. Chart of negative opinions
Chart of negative opinions

This example uses the flow named Hotel Satisfaction, available in the example project that you imported previously. The data files are hotelSatisfaction.csv and hotelSatisfaction.xlsx. The flow uses Text Analytics nodes to analyze fictional text data about hotel personnel, comfort, cleanliness, price, etc.

This flow illustrates two ways of analyzing data with a Text Mining node and a Text Link Analysis node. It also illustrates how you can deploy a text model and score current or new data.

Let's take a look at the flow.

  1. Open the Example Project.
  2. Scroll down to the Modeler flows section and select the Hotel Satisfaction flow.
    Figure 3. Completed flow
    Completed flow
Generative AI search and answer
These answers are generated by a large language model in watsonx.ai based on content from the product documentation. Learn more