Скачать или смотреть Digital Classicist Seminar Berlin (2015/2016) - Seminar 1

Chris Forstall and Lavinia Galli Milić (University of Geneva)

Thematic features for intertextual analysis

Abstract

In this work in progress, we attempt to develop scene-level features for tone and context to improve the automatic scoring of word-level text-reuse for its allusive significance. Considering small samples of sequential verses in a bag-of-words model, we test several simple featuresets:
term frequencies with principal components analysis
tf-idf weights
tf-idf weights after an attempt to correct for authorship signal
term frequencies with Latent Dirichlet allocation
We then perform unsupervised clustering on the samples using k-means. The results of this clustering are compared with a human classification both of the automatically-generated samples and of scenes as delineated by critics.

For further information: http://hdl.handle.net/11858/00-1780-0...