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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 mining"
Do Creative Writing Degrees Impact the Contemporary Novel?

Do Creative Writing Degrees Impact the Contemporary Novel?

I have a new piece out in The Atlantic with Richard Jean So. The piece addresses recent debates as to whether MFA programs have had a major impact on contemporary novels. The short version is that there is very little evidence to suggest any major differences between novels written by authors with MFA degrees and...
The .txtLAB Guide on How to Write Like a Bestseller

The .txtLAB Guide on How to Write Like a Bestseller

Here is a humble 1-page guideline that we produced after studying a sample of 10 years worth of the bestselling novels according to the NY Times Bestseller list. It was used as part of the Devoir Challenge in which some local Montreal writers were asked to try to write stories “like an American bestseller.” One of the most...
txtLAB450. A Multilingual Data Set of Novels for Teaching and Research

txtLAB450. A Multilingual Data Set of Novels for Teaching and Research

I am very pleased to be able to share a collection of 450 novels that we have assembled that were published in English, French, and German during the long nineteenth century (1770-1930). The novels are labeled according to language, year of publication, author, title, author gender, point of view, and word length. They have been labeled as well...
The Devoir Challenge. How to write like an American Bestseller

The Devoir Challenge. How to write like an American Bestseller

When the books editor of Le Devoir, Catherine Lalonde, called to ask if my lab would supply a data-driven guide on how to write like a bestseller, I enthusiastically said yes. But I expected everyone else would say no. Surely writers will be allergic to data. And surely Quebecois and Canadian writers won’t want to write like...
Quantifying the Weepy Bestseller

Quantifying the Weepy Bestseller

I have a new piece out that is appearing in The New Republic. In a number of recent book reviews, literary critics and novelists arrive at the consensus that to be a great writer, one must avoid being “sentimental.” One famous novelist describes it as a “cardinal sin” of writing. But is it actually true? Using a computer science method...