1,177 research outputs found
Examining the representation of landscape and its emotional value in German-Swiss fiction between 1840 and 1940
No full textThis repository provides access to the main datasets used in Grisot, G & Herrmann, J. B. (2023) "Examining the representation of landscape and its emotional value in German-Swiss fiction between 1840 and 1940". The data set includes the following items:
(1) a comprehensive list of labelled spatial entities: all_entities_new.Rdata;
(2) a summary of the corpus content: corpus_summary_table.xlsx;
(3) the entire corpus after removing stopwords split in 6: corpus_clean_partitioned.RData (A-G);
(4) the sentiment lexicons for German used in our analyses: sentiment_lexicons.Rdata:
(5) tables with details of various analyses: proportions_spatial_entities.xlsx, proportions_spatial_entities_by_country.xlsx, Spatial_entities_in_Corpus_by_category.xlsx;
(6) information about the content of the sentment lexicons: Sentiment_lexicons_info.xlsx
The study for which this data were collected explores the representation and affective encoding of fictional space in a corpus of Swiss literary prose texts of the 19th and early 20th Century written in German, offering a contribution to spatial and affective literary studies. Motivated by questions about the iconic dichotomy between urban and rural in literary works – and in Swiss literature in particular – we used computational methods to examine the types of space encoded in German-Swiss literature as well as the affective encoding associated with these space types. Taking into account the complexity of cultural perceptions and representations of space across history, we explore questions about affective encoding of rural, urban, and natural fictional spaces, as well as about their role in the construction of ‘Swiss’ national literature
Sentiment lexicons or BERT? A comparison of sentiment analysis approaches and their performance
No full textUsing a lexicon-based method, we have previously investigated emotions and sentiments in relation to the representation of landscape in Swiss literature, looking in particular at the differences between the rural and urban spaces portrayed in a corpus of Swiss novels written in German. The present paper takes a step forward, using manual annotation and advanced machine learning methods to train a fine-tuned model to recognise valence and arousal on a historical corpus. Our goals are higher levels of lexical coverage and validity when compared to our prior results obtained with sentiment lexicons
Swiss German Novel Collection (ELTeC-gsw)
No full text# ELTeC-CH
This is the Swiss novel collection for the ELTeC, the European Literary Text Collection, produced by the COST Action "Distant Reading for European Literary History" (CA16204, https://distant-reading.net).
## Release notes
General information about ELTeC releases is available at https://github.com/COST-ELTeC/ELTeC.
The ELTeC-gsw collection will contain 100 novels encoded at level 1. The corpus composition criteria are fulfilled.
## Contributors
* Collection editor(s): Giulia Grisot, Berenike Herrmann
* Sources: Textgrid Repository, Deutsches Textarchiv, KOLIMO, Project-gutenberg.de, e-rara.ch
## Licence
All texts included in this collection are in the public domain. The textual markup is provided with a Creative Commons Attribution International 4.0 licence (CC 0, https://creativecommons.org/publicdomain/zero/1.0/).The collection is in progress, further updates to be poste
DACH Korpus für die Summer School «Digital Literary Studies» - Zürich 2022
No full textGrisot G, Herrmann JB, Rebora S. DACH Korpus für die Summer School «Digital Literary Studies» - Zürich 2022. Bielefeld University; 2022
Swiss German Novel Collection (ELTeC-gsw), Version v2.0.0
No full textGrisot G, Herrmann JB. Swiss German Novel Collection (ELTeC-gsw), Version v2.0.0. European Literary Text Collection (ELTeC). COST Action Distant Reading for European Literary History; 2023
Is Heidi really happier in the mountains? A case for an investigation of spatial affect in fiction.
No full textGrisot G, Herrmann JB. Is Heidi really happier in the mountains? A case for an investigation of spatial affect in fiction. Presented at the Comparing Landscapes: Approaches to Space and Affect in Literary Fiction, Bielefeld, Bielefeld
Metadaten-Datensatz Deutschschweizer literarische Texte (1880-1990): Romane, Novellen, Geschichten, incl. Skripte
No full textGrisot G, Gubser S, Herrmann JB, Kreyenbühl E, Waeber J. Metadaten-Datensatz Deutschschweizer literarische Texte (1880-1990): Romane, Novellen, Geschichten, incl. Skripte. Bielefeld University; 2021
Recognising non-named spatial entities in literary texts: a novel spatial entities classifier
No full textKababgi D, Grisot G, Pennino F, Herrmann JB. Recognising non-named spatial entities in literary texts: a novel spatial entities classifier. Presented at the Computational Humanities Research, Aarhus
Using Word Embeddings for Validation and Enhancement of Spatial Entity Lists
No full textHerrmann JB, Byszuk J, Grisot G. Using Word Embeddings for Validation and Enhancement of Spatial Entity Lists. In: International Conference Digital Humanities 2022. Tokyo, Japan. 2022.Spatial distant reading uses computational means to investigate fictional representations of
space as a central category of sense-making (Lefebre, 1974), both in fictional world building
(e.g., Bologna, 2020) and in societal contexts (e.g., Wilkens, 2021).
Our spatial distant reading project investigates the affective topologies of German-Swiss
literature to examine different types of spatial representation in fictional Swiss-German prose
between 1854 and 1930, assessing iconic differences such as culture/nature, urban/rural
(Rehm, 2014), as well as the (alpine) mountains’ role in Swiss literary national framing
(Zimmer, 1998). A key resource is a list of spatial terms (N=187,421 entities), including
spatial named entities, other urban and rural toponyms, as well as natural terms (Grisot &
Herrmann, in prep.). In the current paper, we take a methodological focus on this resource,
exploring word embeddings for validation (Task A) and extension (Task B) of our spatial
entity lists
Giulia Veronica Varisco
No full textThe headword explains the biography and the contribution of the author Giulia Varisco to the children's literatur
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