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JSTOR Constellate: Overview
A platform for learning and performing text analysis, building datasets, and sharing analytics course materials.
To access all parts of the product, you must have a JSTOR login and pair it with SMU.
How to create a Constellate account
Pair your Constellate account with SMU to access all the Constellate resources.
Constellate Quick Start
Tutorials to help get started
Displays recently viewed datasets and example datasets. Log in to save these datasets to your account.
Request large datasets from JSTOR
Datasets larger then 25,000 documents and full-text datasets are provided by request and require an agreement about the use of the data.
Share feedback during the Constellate trial period: 2/1/24-4/30/24.
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Image and full-text access to back issues of selected scholarly journals, books, and primary sources in 75 disciplines. Browse tables of contents for holdings before making a request for a dataset.
Text Mining Support at JSTOR
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
Need more help?
Schedule An Appointment
Research Data Management
Datasets and Data Repositories
Recommended resources for data science.
Introduction to Text Data Mining
Workshop information and content
Data Science Support
SMU's Research Technology Services unit (through the Office of Information Technology) provides dedicated consultative and project resources for research and education in data science.
Feb 2, 2024 8:51 AM
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