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Welcome to .txtLAB, a digital humanities laboratory at McGill University directed by Andrew Piper. We explore the use of computational and quantitative approaches towards understanding literary and cultural phemonena 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 the large and small scale.
Posts tagged "sentiment"
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...
Where did all the love go? Feelings in the novel.

Where did all the love go? Feelings in the novel.

I have been increasingly focusing on the history of feeling in the novel, especially as a way of differentiating feeling from sentiment analysis. Emotions aren’t the same as sentiments, as they are commonly defined today (and usually only in binary fashion — happy/unhappy or positive/negative). Instead, I was interested in the ways different kinds of emotions change...