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Towards the Analysis of Fan Fictions in German Language: Exploration of a Corpus from the Platform Archive of Our Own
Abstract: We report upon a digital humanities project on the acquisition and analysis of a corpus of German online writings. We have implemented a scraper to gather the German language material as well as corresponding metadata of the popular online writing platform Archive of Our Own (AO3), which is a platform primarily focused on the text sort of fan fictions. The corpus consists of 9,640 writings resulting in over 39 million tokens and 3.6 million sentences. The texts have varying lengths with a median of around 2,500 tokens per story. We present results on the analysis of metadata and general text statistics like the most frequent words. While we can support previous findings of literary and media studies like the dominance of male-male romantic and erotic narratives, we can also identify attributes that are very specific and unique to German culture as well as differences to results of research for English online writings. We will outline in our future work how we plan to further increase and analyze the corpus to support research in digital humanities as well as German literary and fan studies. (PDF) Towards the Analysis of Fan Fictions in German Language: Exploration of a Corpus from the Platform Archive of Our Own.
Keyword: 004 Informatik; 400 Sprachwissenschaft; 420 Englisch; 800 Literatur; 830 Deutsche Literatur; ddc:004; ddc:400; ddc:420; ddc:800; ddc:830; Linguistik; Literaturwissenschaft; Rhetorik
URL: https://www.researchgate.net/publication/355228481_Towards_the_Analysis_of_Fan_Fictions_in_German_Language_Exploration_of_a_Corpus_from_the_Platform_Archive_of_Our_Own
https://epub.uni-regensburg.de/50829/1/Schmidt_EADH2021_FanFictions.pdf
https://epub.uni-regensburg.de/50829/
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2
Comparing Live Sentiment Annotation of Movies via Arduino and a Slider with Textual Annotation of Subtitles
Schmidt, Thomas; Engl, Isabella; Halbhuber, David. - : CEUR Workshop Proceedings, 2021
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3
Using Deep Learning for Emotion Analysis of 18th and 19th Century German Plays
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4
Lexicon-based Sentiment Analysis in German: Systematic Evaluation of Resources and Preprocessing Techniques
Schmidt, Thomas; Wolff, Christian; Fehle, Jakob. - : KONVENS 2021 Organizers, 2021
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5
Towards a Corpus of Historical German Plays with Emotion Annotations
Schmidt, Thomas; Dennerlein, Katrin; Wolff, Christian. - : Schloss Dagstuhl — Leibniz-Zentrum für Informatik, 2021
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6
Visualizing Collocations in Religious Online Forums
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7
Acquisition and Analysis of a Meme Corpus to Investigate Web Culture
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8
Distant Reading of Religious Online Communities: A Case Study for Three Religious Forums on Reddit
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9
Der Einsatz von Distant Reading auf einem Korpus deutschsprachiger Songtexte
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10
Annotator-Centered Design: Towards a Tool for Sentiment and Emotion Annotation
Schmidt, Thomas; Jakob, Marco; Wolff, Christian. - : Gesellschaft für Informatik e.V., 2019
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11
Katharsis – A Tool for Computational Drametrics
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12
Inter-Rater Agreement and Usability: A Comparative Evaluation of Annotation Tools for Sentiment Annotation
Schmidt, Thomas; Winterl, Brigitte; Maul, Milena. - : Gesellschaft für Informatik e.V., 2019
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13
Stilometrie in der Rechtslinguistik. Nutzung korpuslinguistischer Verfahren für die Analyse deutschsprachiger Urteile
Auer, Anna-Maria; Berteloot, Pascale; Mielke, Bettina. - : Editions Weblaw, 2019
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14
Sentiment Annotation for Lessing’s Plays: Towards a Language Resource for Sentiment Analysis on German Literary Texts
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15
Herausforderungen für Sentiment Analysis-Verfahren bei literarischen Texten
Schmidt, Thomas; Burghardt, Manuel; Wolff, Christian. - : Gesellschaft für Informatik e.V., 2018
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16
Katharsis – Ein Werkzeug für die quantitative Dramenanalyse
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17
Sentilyzer – A Mashup Application for the Sentiment Analysis of Facebook Pages
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18
WebNLP – An Integrated Web-Interface for Python NLTK and Voyant
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19
Stand off-Annotation für Textdokumente: Vom Konzept zur Implementierung (zur Standardisierung?)
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20
Werkzeuge zur Annotation diachroner Korpora
Wolff, Christian; Burghardt, Manuel. - : Abteilung für Informatik und Angewandte Kognitionswissenschaft, Universität Duisburg-Essen, 2009
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