Most approaches to emotion analysis of social media, literature, news, and other domains
focus exclusively on basic emotion categories as defined by Ekman or Plutchik. However, art …

Analyzing poetry with automatic tools has great potential for improving verse-related
research. Over the last few decades, this field has expanded notably and a large number of …

Due to its semantic succinctness and novelty of expression, poetry is a great test bed for
semantic change analysis. However, so far there is a scarcity of large diachronic corpora …

In this work, we design an end-to-end model for poetry generation based on conditioned
recurrent neural network (RNN) language models whose goal is to learn stylistic features …

With DISCO, the DIachronic Spanish Sonnet COrpus, we collected 4,085 sonnets written
from the fiftheenth to nineteenth centuries, including canonical and lesser-studied authors …

Although computational linguistic methods have been applied to spoken and written text,
they have only recently been used to study poetry. Here, we examine the linguistic …

One of the most important patterns in ancient as well as modern poetry is the enjambment,
the continuation of a sentence beyond the end of a line, couplet, or stanza. The paper …

After overcoming the traditional metrics, modern and postmodern poetry developed a large
variety of 'free verse prosodies' that falls along a spectrum from a more fluent to a more …

Digital resources in poetry in Spanish are scarce, particularly for certain periods. This poses
difficulties for Digital Humanities studies in Spanish. Some digital editions of medieval poetry …

This doctoral thesis is about the computational modeling of stylistic variation in poetry. As 'a
computational stylistics' it examines the forms, social embedding, and the aesthetic potential …