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Welcome to .txtLAB, a laboratory for cultural analytics at McGill University directed by Andrew Piper. We explore the use of computational and quantitative approaches towards understanding literature and culture in both the past and present. Our aim is to engage in critical and creative uses of the tools of network science, machine learning, or image processing to think about language, literature, and culture at both large and small scale.
Posts tagged "Digging into Data"
Digging into Data Award

Digging into Data Award

We learned that we have been awarded a Digging into Data Grant for our project, “Global Currents: Cultures of Literary Networks, 1050-1900.” Our project will undertake the cross-cultural study of literary networks in a global context, ranging from post-classical Islamic philosophy to the European Enlightenment. Integrating new image-processing techniques with social network analysis, we examine...
Digging into Data: Global Currents

Digging into Data: Global Currents

What can you learn from the visual features of a page? This is the question that lies at the centre of our digging into data project, the awards for which were announced yesterday.  A vast amount of our textual heritage has so far been resistant to large-scale data analysis, whether it is non-western scripts or...