JSTOR received the first-ever People’s Choice Award for Text Analyzer during the SSP Previews Session at the Society for Scholarly Publishing‘s 40th annual meeting held May 30-June 1 in Chicago, IL.

In a plenary featuring 13 presentations about the industry’s newest and most innovative products, platforms, and content, attendees voted for Text Analyzer as most likely to have the most positive impact in scholarly communications.

JSTOR Labs Director Alex Humphreys demonstrated how Text Analyzer works by following the stories of Amy and Amir, two stick-figure researchers. With Text Analyzer, researchers can search for content on JSTOR simply by uploading a document.

“It’s amazing to have our Text Analyzer identified as an application most likely to have a positive impact on scholarly communications,” said Humphreys. “Our mission is to find ways to improve people’s access to knowledge and this includes the ways in which researchers can make productive use of the vast stores of digital content now available. We’re excited to have more people check out Text Analyzer and to keep building new tools that make difference in their work.”

Other presenting organizations this year included: Atypon, Delta Think, The MIT Press, Association of American Medical Colleges, Quark Intelligent Systems Inc., Digital Science, Edanz Group, PaperHive, sci.AI, eLife & Hypothesis, Kudos, and Copyright Clearance Center.
https://about.jstor.org/news/text-analyzer-wins-ssp-previews-session-peoples-choice-award/
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