JSTOR Constellate

• Quickstart

• What is Constellate?

• Constellate is text analytics platform from ITHAKA.

  • teach and learn text analytics

    • Constellate tutorials

    • build datasets from across multiple content sources

    • Two of ITHAKA’s services, JSTOR and Portico, are the initial sources of content for the new platform, which includes: Chronicling America, collections from Documenting the American South, the South Asia Open Archives and Independent Voices from Reveal Digital.

    • Build a new dataset

    • Dataset Dashboard and Example datasets

      • Saving to Dashboard and examples available when logged in.

    • visualize and analyze their datasets.

    • Working with Dataset Files

Login to JSTOR & CONSTELLATE

• 1st: Login into JSTOR & Constellate. Directions are on this guide.

• Enter your keywords in Build your dataset and search. It will then run your search. You can use filters to refine and modify your search.

• Once your results look interesting to you, click on Build your dataset. It will ask if you want to name your dataset.

• You will then be at your Dataset Dashboard which displays recently viewed datasets and example datasets.

• Scroll down to see the example datasets.

• The options available to you are:

• Analyze: This will allow you to analyze your dataset in the Constellate Lab by opening any of the tutorial Jupyter Notebooks (in the Python programming language) as seen below.

• Visualize: This will allow you to do things like visualize terms across your dataset.

• Download: note the options available in regards to content (metadata, ngrams, full-text, sampled metadata, trigrams) and formats (.csv, json)

• There is a limit on how large a dataset you can download.

  • More on Working with Dataset Files