2 research outputs found
Modeling and Measuring Short Text Similarities. On the Multi-Dimensional Differences between German Poetry of Realism and Modernism
This study contributes to the ongoing discussion on how to operationalize
text similarity for the purposes of computational literary studies by
defining, justifying theoretically and employing a multi-dimensional text model.
Additionally, we evaluate a set of strategies to implement this model for very
short texts like poetry using a range of methods from weighted sparse vectors up
to very recent neural sentence embeddings based on annotations of emotions,
genre and similarity. And finally, we show the relevance of using such a complex
text model by applying the best method to a research question about the development
of early modernism in German poetry. While we can confirm some
important hypotheses from literary studies, we are also able to differentiate
or relativize others. In particular, our findings do not support the widely held
thesis that the change from realism to modernism was a revolutionary ‘rupture’