The Google product category attribute can be used to override Google’s automatic categorization in specific cases. Providing high-quality, on-topic titles and descriptions, as well as accurate pricing, brand, and GTIN information will help ensure your products are correctly categorized. You can now use it like any of the other variables in your data to create tables, crosstabs, charts, and visualizations.All products are automatically assigned a product category from Google’s continuously evolving product taxonomy. A new multi-select variable is created and can be seen in the Variables and Questions tab. Make sure that the output above is selected and then go to Create > Text Analysis > Advanced > Save Variable(s) > Categories. You can save the created categories to your data set as a new variable which can then be used in other analyses. How to Save the Categories to your Data Set This makes it easier to recognize common categories. If “Scientologist” is in a blue box, then all occurrences of “Scientologist” will be in a blue box. The only purpose of this is to give specific words a unique style and make them easier to identify. The colored boxes around the word categories are randomly assigned to each category. In other words, this is the text after spell checking, stemming, word removals and other cleaning functions are performed. The normalized text is the “cleaned” text. The right side of the output shows the raw (original) text and the normalized or categorized text. The variants indicate how many different specific variations of responses there are in each category. The number of individual responses that are put into each category is displayed in the frequency column. The left side of the output lists the automatically generated categories. The output will calculate automatically: Interpreting the Output This means that Displayr will only show categories that contain at least 2 responses. For this example, we’ll set the number of categories to 2. Change the Inputs > Minimum category size to the number of categories you would like to classify the data into.In the object inspector (the section that opens on the right of the screen), under Inputs > Text variable(s) select the variable that contains the text you want to analyze.
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