TAPI is led by JSTOR Labs, developed alongside Constellate, a text analytics platform.



The Text Analysis Pedagogy (TAP) Institute is an open educational institute for the benefit of teachers (and aspiring teachers) of text analysis in the digital humanities. The TAP Institute is led by JSTOR Labs in partnership with The University of Virginia (2021) and The University of Arizona (2022). It is made possible by funding from the National Endowment for the Humanities.

The 2021 TAP Institute will offer 10 free, online courses to teachers (and aspiring teachers) of text analysis. The courses include:

  • Basic Python and R
  • Optical Character Recognition
  • Topic Modeling
  • Data Analysis with Pandas
  • Machine Learning
  • Visualizing Humanities Data
  • Ancient/Medieval Languages
  • Named Entity Recognition

For more details, see the full schedule. Each course is short, lasting three 90-minute sessions. The courses are taught by master instructors from top American universities.

Who can apply?

The TAP Institute is open to all teachers (and aspiring teachers) of text analysis. The courses will be run virtually throughout the month of June. In order to foster interactive learning, space will be limited to 20 partipants per course. Participants may apply to up to three courses. The deadline for all applications is April 15th. Applicants can expect to hear back about acceptance by May 1st. Apply now ->

Growing the Text Analysis Teaching Community

We believe the humanities have a valuable research role to play in the era of data science, big data, and machine learning, especially confronting social issues like algorithmic oppression, data privacy, and social media manipulation. The 21st century has brought a crush of humanities textual data, but humanists are often not prepared to find, clean, and analyze this data.

Over the past year, JSTOR Labs has spoken with more than 200 digital humanities experts including faculty, librarians, and researchers across the United States, England, Canada, Australia. These experts work for a wide swathe of digital humanities institutions including research universities, ivy league institutions, small liberal arts colleges, and community colleges. Our conversations have confirmed research that argues that the greatest challenges for supporting text analysis education include access to educational resources, technical infrastructure, and community support.

The TAP Institute aims to support national communities of practice for the teaching and learning of text analysis based on open educational lessons and infrastructure. JSTOR Labs is developing an Open Educational Repository of text analysis lessons beginning with course materials from the 2021 TAP Institute.

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