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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 "cultural analytics"
CA Is  Here

CA Is Here

I am very pleased to announce the official launch of CA: Journal of Cultural Analytics. As we state in the journal’s mission statement: Cultural Analytics is a new journal dedicated to the computational study of culture. Its aim is to promote high quality scholarship that intervenes in contemporary debates about the study of culture using computational...
How Cultural Capital Works: Prizewinning Novels, Bestsellers, and the Time of Reading

How Cultural Capital Works: Prizewinning Novels, Bestsellers, and the Time of Reading

This new essay published in Post45 is about the relationship between prizewinning novels and their economic counterparts, bestsellers. It is about the ways in which social distinction is symbolically manifested within the contemporary novel and how we read social difference through language. Not only can we observe very strong stylistic differences between bestselling and prizewinning writing,...
Announcing CA: Journal of Cultural Analytics

Announcing CA: Journal of Cultural Analytics

I am very pleased to announce the pending launch of CA: Journal of Cultural Analytics, an open-access web-based academic journal that will focus on the computational study of culture. CA’s mission is to use data-driven approaches towards the study of literature, culture and history. Our mandate is as capacious as it is focused: to transform...
How I predicted the Giller Prize (and still lost the challenge)

How I predicted the Giller Prize (and still lost the challenge)

This Fall we created a lab challenge to see if anyone could predict this year’s Giller Prize winner using a computer. The winner was announced last night, and it turns out I correctly predicted the winner. But I still lost the challenge. In this lies an instructive tale about humans, computers, and predicting human behaviour....
Detecting Literary Characters

Detecting Literary Characters

We are pleased to announce the acceptance of a new paper in this year’s Conference for Empirical Methods in Natural Language Processing (EMNLP-15). The paper offers additional methods beyond NER for identifying characters in novels. This work is part of our on-going project of studying social networks in fiction. As we’ve come to realize, just...

Another New Course! Graduate Seminar in “Cultural Analytics” offered this semester

Pleased to announce LLCU 609, “Cultural Analytics: The Computational Study of Culture.” It offers an overview of the field, with an emphasis on text analysis, stylistics, sentiment analysis, topic modelling, social network analysis and visual culture. So far we have eight different disciplines represented in a class of about 18 students. Nice to see how...