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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 "data"
Data, data, data. Why Katherine Bode's new piece is so important and why it gets so much wrong about the field

Data, data, data. Why Katherine Bode’s new piece is so important and why it gets so much wrong about the field

Katherine Bode has written an excellent new piece asking us to reflect more on the data we use for computational literary studies. Her argument is that many of the current data sets available, which rely on date of first publication as a criteria for selection, miss the more socially imbedded ways literary texts have circulated...
Why your dissertation needs data

Why your dissertation needs data

Dear Future¬†Graduate Students, It’s that time of year to start thinking about grad school. Recruiting is not easy for me. My general sentiment around graduate training is, let them decide. Advertising or persuasion is for places like Trump University not scholarship. But I think we are at a bit of a crossroads in our field...