JSTOR is a highly selective digital library of academic content in many formats and disciplines. The collections include top peer-reviewed scholarly journals as well as respected literary journals, academic monographs, research reports from trusted institutes, and primary sources.
Text Analyzer is a new way to search JSTOR: upload your own text or document, Text Analyzer processes the text to find the most significant topics and then recommends similar content on JSTOR. An exciting option for beginning your search on JSTOR is the Text Analyzer. After going to the Text Analyzer home page, you can select a document from your computer--it can be a research paper you have created or it can be a document created by someone else that is relevant to your search--and drag and drop it into the analyzer to get search results.
How it works
Upload a document with text in it. This can be anything: a paper you're writing, an outline of a work in progress, an article you just downloaded, even a picture of a page of your textbook. (Don't worry, we won't store or share the text.)
The tool analyzes the text within the document to find key topics and terms used, and then uses the ones it deems most important — the "prioritized terms" — to find similar content in JSTOR.
Review the results and download any articles you're interested in.
Adjust the results you're seeing by adding, removing or adjusting the importance of the prioritized terms.
File types supported
You can upload or point to many kinds of text documents, including: csv, doc, docx, gif, htm, html, jpg, jpeg, json, pdf, png, pptx, rtf, tif (tiff), txt, xlsx. If the file type you're using isn't in this list, just cut and paste any amount of text into the search form to analyze it.