JSTOR Constellate: Overview

A platform for learning and performing text analysis, building datasets, and sharing analytics course materials.
Note: To access all parts of the product, you must have a JSTOR login and pair it with SMU.
To access Tutorials, log in to Constellate and navigate to the Tutorials section on your dashboard. From there, you can explore their growing library of interactive tutorials covering a wide range of text analysis topic

First create a JSTOR or Google account to log in into Constellate.
Then you can pair your Constellate account with SMU to access all the Constellate resources.

Tutorials to help get started

Displays recently viewed datasets and example datasets. Log in to save these datasets to your account.

Datasets larger then 25,000 documents and full-text datasets are provided by request and require an agreement about the use of the data.

Browse Constellate classes, webinars, and related events.
Once you sign up for a class, you will receive and invite to the Constellate Slack (access to recordings and Q&A)

Define and request datasets for JSTOR content, download sample datasets for teaching text-mining, or request large datasets for intensive research.

A beta tool built by JSTOR Labs that allows you to search for content on JSTOR just by uploading a document