Text analysis has undergone substantial evolution since its inception, moving from manual
qualitative assessments to sophisticated quantitative and computational methods. Beginning …

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 …

The OpenScore Lieder Corpus is a collection of over 1,200 nineteenth century songs
encoded by a dedicated team of mostly volunteers over several years. Having reported on …

Many studies have shown that human languages tend to optimize for lower complexity and
increased communication efficiency. Syntactic dependency distance, which measures the …

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 …

This article correlates fine-grained semantic variability and change with measures of
occurrence frequency to investigate whether a word's degree of semantic change is …

Lexical semantic change detection is the study of how words change meaning between
corpora. While Schlechtweg et al.(2020) standardized both datasets and evaluation metrics …

Наивная поэзия, т. е. поэзия, не прошедшая редакционные фильтры, публикуемая
авторами в интернете (на сайте Stihi. ru), предоставляет уникальный материал для …

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 …

We present ongoing research on the relationship between short-term semantic shifts and
frequency change patterns by examining the case of the refugee crisis in Austria from 2015 …