This article presents an empirical evaluation of text classification methods in literary domain. This study compared the performance of two popular algorithms, naı̈ve Bayes and support vector machines (SVMs) in two literary text classification tasks: the eroticism classification of Dickinson’s poems and the sentimentalism classification of chapters in early American novels. The algorithms were a...

“synopsis and explainer” methodological discussion has been reflexed, in literary domain, as stipulation and constraint; but synopsis explanation seems being different to what happens in methodology because sometimes the meanings of lexical items and combinations are given on individual, probabilistic, and untrustworthy interpretations. present paper, applying few lines of nasser khosrow’s seco...

This paper proposes a graph based methodology for automatically disambiguating authors’ mentions in a corpus of French literary criticism. Candidate referents are identified and evaluated using a graph based named entity linking algorithm, which exploits a knowledge-base built out of two different resources (DBpedia and the BnF linked data). The algorithm expands previous ones applied for word ...

Applying machine translation (MT) to literary texts involves the same domain shift challenges that arise for any sublanguage (e.g. medical or scientific). However, it also introduces additional challenges. One focus in the discussion of translation theory in the humanities has been on the human translator’s role in staying faithful to an original text versus adapting it to make it more familiar...

The present paper suggests an application of ontologies in the analysis of a literary phenomenon. Starting from the needs of humanistic research and from the availibility on the Web of Language Resources, the adoption of such methodology, whose reference tool is an ontology, has led to a deeper analysis of the “Dualism Truth vs. Propaganda” in Karl Kraus’s writings and of the novel “Cloud, cast...

Temporal dependencies reveal interesting insights into the semantic discourse structure of narrative texts. The investigations of literary scientists are, as of today, mostly based on labor-intensive manual annotations. Computational Narratology, an important subtopic of the Digital Humanities, aims at facilitating annotations and supporting literary scientists with their analyses. According to...