Video Script
Text Explorer is a new platform in JMP to analyze unstructured text data.
It provides basic tools for analyzing text found in comment fields in surveys, incident reports. Or engineering notes just to name a few.
Let’s run thru a quick example that’s built right inside your copy of JMP 13 and later, accessed from the Pet Survey sample data.
Under the Help menu in JMP, here’s actually 2 ways you can access JMP’s sample data. As an Journal Index, selecting Sample Data or a folder selecting Sample Data Library. I’ll open up the the Pet Survey data from the folder view vs. the Sample Data Index.
If you want sample data related to a platform the index is a perfect however in this case I know exactly what I’m looking for.
I’ll select Help then the Sample Data Library and scroll and select Pet Survey.
With this data open I want to explore the text responses from a survey about pets.
Let’s see what we discover.
I can select the included Text Explorer Script using the Green Triangle to run and preview where we’re headed in this demo.
However, that’s really cheating so I’ll close that Report Window and go thru the steps.
I’ll select Analyze then Text Explorer.
I’ll then select Survey Response and select Text Columns.
Now I can select OK, and the Text Explorer Report window opens.
At a glance, I can see that there are 372 unique terms in 194 documents. In all, there are 1921 tokenized terms.
The most common term is “cat”, and it occurs 55 times. It is a pretty popular pet.
From the red triangle menu in this Text Explorer Rerport for Survey Response, select Term Options > Stemming > Stem All Terms.
This removes all word endings to the Stem.
Stemming is the process of combining words with identical beginnings (stems) by removing the endings that differ.
This results in the word “jump”, “jumped”, and “jumping” all being treated as the term “jump·”.
Now In the Phrase List table, I’ll select cat food and dog food, then right-click on the selection, and select Add Phrase.
The terms cat food and dog food are included in the Term List.
I need to scroll down in the Term List to find them and there is are cat and dog food entries.
And I can see that there are four occurrences.
This is a very brief introduction to this powerful highly interactive platform for analyzing unstructured text data, And there’s a lot more to learn, your next step is to explore the many options under the red triangle in the Text Explorer Report.
You you can also follow the links below to view a tutorial and also see what features JMP Pro adds.
Thanks for watching and I’m certain you’ll discover something very valuable in your data with the Text Explorer platform.
