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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 tools aiming at analyzing various aspects of poetry have been developed. However, the concrete connection between these tools and traditional scholars investigating poetry and metrics is often missing. The purpose of this article is to bridge this gap by providing a comprehensive survey of the automatic poetry analysis tools available for European languages. The tools are described and classified according to the language for which they are primarily developed, and to their functionalities and purpose. Particular attention is given to those that have open-source code or provide an online version with the same functionality. Combining more traditional research with these tools has clear advantages: it provides the opportunity to address theoretical questions with the support of large amounts of data; also, it allows for the development of new and diversified approaches. [ABSTRACT FROM AUTHOR]

In connection to literature, negative empathy is a sophisticated form of narrative empathy with fictional characters portrayed as markedly evil and seductive at the same time. Several studies on narrative engagement have explored negative empathy mainly from a theoretical perspective. Conversely, empirical approaches have rarely delved into the dynamics of the linguistic construction of the texts studied. To fill this gap, this paper employs computational techniques to investigate the language of a corpus of novels whose characters are particularly apt for the arousal of negative empathy. More specifically, this study uses Sentiment and Emotion Analysis to explore the lexical representation of emotions and to locate fluctuations in the emotional content of the texts. The ultimate aim is to assess both the potential and the vulnerabilities of Sentiment Analysis for detecting emotional shifts in a literary text and thus for revealing the intensity of its emotional content, which may facilitate the readers' morally challenging engagement with negative characters. [ABSTRACT FROM AUTHOR]

The incorporation of the humanities into digital transformation processes resulted in the emergence of a new research field called digital humanities. This new field has its origin in the beginning of the second half of the twentieth century. From the research point of view, through the analysis of the scientific production of the main academic databases, we provide here an overview of the international panorama of digital humanities, looking at the main countries, institutions, areas of knowledge and leading topics in this discipline. [ABSTRACT FROM AUTHOR]

The aim of this paper is to present the new CapekDraCor corpus and the DraCor project with its research-oriented concept of a programmable corpora focused on quantitative analyses within the framework of computational literary studies. This digital platform extends the possibilities of large-scale drama analysis with a focus on the dramatic character(s). The basic operationalisation is the interaction within a dramatic configuration, i.e., the scenic co-presence of two speakers, from which network data are automatically extracted, both global networks of interactions of dramas and data characterising individual actors, i.e., literary characters. The paper demonstrates the CapekDraCor corpus, a new contribution to the extensive DraCor database, and presents the way the data are processed with respect to their specific multi-layered structure. The corpus contains all the plays written by Karel and Josef Čapek and the data are processed in a standardized format based on XML and general TEI guidelines for processing drama with a defined basic drama tagset. CapekDraCor also uses the newly created EZdrama format for data processing, which works as an intermediate step from.txt to.xml file as a lightweight YAML-like markup language. A file in this format can be automatically converted into a DraCor-ready XML file with a TEI header. The advantage of the programmable corpora concept is the possibility to use suitably structured data for drama research outside the DraCor platform and with other methods or tools for textual analysis. Simultaneously, this approach moves the researcher from the technical requirements of the analysis to operationalised computational analysis based on research questions and pre-prepared and flexible tools. DraCor is a unique open infrastructure (both in terms of data and tools) for the analysis of European drama, currently comprising 15 corpora in 10 different languages with a total of about 3,000 plays from a wide range of periods. [ABSTRACT FROM AUTHOR]

MiMoText is a research project in computational literary studies dealing with new ways to model and analyse literary history and literary historiography. It is based on the idea of extracting statements relevant to literary history from bibliographies, scholarly publications and primary sources, in order to build a shared knowledge network for literary history. We employ methods from information extraction and text mining to obtain large numbers of statements about authors and literary works from our data. Moreover, we use the Linked Open Data paradigm to model, represent and query the information we obtain. We believe our project is a step towards a mode of digital humanities that goes not only beyond small, deeply encoded datasets and their close reading, but also beyond Big Data approaches that cannot always be easily adapted to the humanities. Instead, we propose a third way for digital humanities that develops quantitative methods to create and analyse datasets relevant to research in the humanities that are both larger and smarter than has been customary up until recently. [ABSTRACT FROM AUTHOR]