buy cheapest viagra

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"
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...
Just Review, a student led project on gender bias in book reviewing

Just Review, a student led project on gender bias in book reviewing

For years, women have been aware that their books are less likely to get reviewed in the popular press and they are also less likely to serve as reviewers of books. Projects like VIDA and CWILA were started to combat this kind of exclusion. Over time they have managed to make some change happen in the industry....
The Eleanor and Park Challenge

The Eleanor and Park Challenge

Eleanor & Park is a beautiful young adult novel about two kids who fall in love after meeting, as so many kids do, on the school bus. It also contains a perfect challenge for the computational study of culture. Think of it as an alternative to the Turing test. Here’s the back story. We’ve begun studying...
Culture + Computation: New Syllabus in Cultural Analytics LLCU 614

Culture + Computation: New Syllabus in Cultural Analytics LLCU 614

  I am pleased to add this year’s syllabus for my graduate course, “LLCU 614, Cultural Analytics: The Computational Study of Culture.” The aim of the course is twofold: 1) to introduce students in the humanities to the computational and quantitative methods for studying culture in order to move beyond the use of anecdotal evidence and...
Fictionality

Fictionality

I am pleased to announce the publication of a new piece I have written that appears today in CA: Journal of Cultural Analytics. The aim of the piece is to take a first look at the ways in which fictional language distinguishes itself from non-fiction using computational approaches. When authors set out to write an...
The Humanities: Theory Rich, Evidence Poor

The Humanities: Theory Rich, Evidence Poor

At some point, theory was declared over. Which was a polite way of saying we can get back to doing what we’ve always done. Which, it turns out, was theory. The humanities represent an amazing collection of individuals who have over the ages developed an extraordinary array of theories about people, the past, creativity, and social life....
Identity: NovelTM Annual Workshop 2016

Identity: NovelTM Annual Workshop 2016

I am very pleased to announce the upcoming workshop for the NovelTM research group. This year’s theme is “Identity” and will be taking place at the Banff Research Centre in Banff, Alberta. For two days participants will meet and share new work that uses computational modelling to understand the various ways that novels construct identity...
CA Fall Preview: Food, Folklore and Lots of Novels

CA Fall Preview: Food, Folklore and Lots of Novels

We have some exciting new material that will be appearing shortly in CA: Journal of Cultural Analytics, which I thought I would share here. Dan Jurafsky, Victor Chahuneau, Bryan R. Routledge, and Noah A. Smith will have a new piece out on the relationship between food menus and social class. As they argue in their...
The Visibility of Knowledge

The Visibility of Knowledge

I am very pleased to announce that our new collaboration with Chad Wellmon and Mohamed Cheriet has been funded by the Social Sciences and Humanities Research Council of Canada. The project is called “The Visibility of Knowledge: The Computational Study of Scientific Illustration in the Long Nineteenth Century.” Our aim is to study how scientific knowledge became...
.txtLAB Internships 2016: Computational Cultural Advocacy

.txtLAB Internships 2016: Computational Cultural Advocacy

.txtLAB is pleased to offer four undergraduate internships for the coming academic year. This year’s theme is “Cultural Advocacy: Women in the Public Sphere.” The aim of the internship is to address how women are both mis-represented and under-represented in the public discourse of book reviewing. Book reviews represent a significant cultural outlet that bestow...
Is data good for creative writing? My interview with @DIYMFA Radio

Is data good for creative writing? My interview with @DIYMFA Radio

This past Spring I conducted an interview with Gabriela Pereira, host of @DIYMFA Radio. These are a fantastic series of podcasts for aspiring writers to learn more about the craft without paying enormous sums of money to attend an MFA program. In the interview, we talk about how and whether data can be useful for...
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...