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 tutorial, a hotel manager is interested in learning what customers think about the hotel. The hotel manager wants to analyze reviews for the hotel to see what customers think. The reviews express opinions about hotel personnel, comfort, cleanliness, price, and other areas of interest.

Chart of positive opinions. It shows terms and phrases, such as location, budget, and hotel amenities. These terms are varying sizes depending on their importance. They arranged the central most important term which is in the center and is the biggest. — Figure 1. Chart of positive opinions

Chart of negative opinions. It shows terms and phrases, such as location, budget, and hotel amenities. These terms are varying sizes depending on their importance. They arranged the central most important term which is in the center and is the biggest. — Figure 2. Chart of negative opinions

This example uses the flow that is named Hotel Satisfaction, which is 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 reviews about the hotel.

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

Open the Example Project.
Scroll down to the Modeler flows section and select the Hotel Satisfaction flow.
Figure 3. Completed flow