Tag: 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 […]

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 […]

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 […]

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. […]

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. […]


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