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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 "character"
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...
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...
Development of a (Semi-) Automatic Character Network Tool

Development of a (Semi-) Automatic Character Network Tool

This is the third post in the series of .txtLAB intern projects. It is authored by Tristan Dahn. The concept of social network analysis – initially rooted in classical sociology and more recently in the social scientific, mathematic, and computer science realms – dates at least as far back as the mid 1960’s [7]. Classically,...