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Towards a Corpus of Historical German Plays with Emotion Annotations ...
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Towards the Analysis of Fan Fictions in German Language: Exploration of a Corpus from the Platform Archive of Our Own ...
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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 ...
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Keyword:
004 Informatik; 400 Sprachwissenschaft, Linguistik; 420 Englisch; 800 Literatur, Rhetorik, Literaturwissenschaft; 830 Deutsche Literatur; fan fiction, online writing, digital humanities, literary studies, fan studies, online communities, corpus creation, corpus analysis
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URL: https://dx.doi.org/10.5283/epub.50829 https://epub.uni-regensburg.de/id/eprint/50829
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Towards the Analysis of Fan Fictions in German Language: Exploration of a Corpus from the Platform Archive of Our Own
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Using Deep Learning for Emotion Analysis of 18th and 19th Century German Plays
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Towards a Corpus of Historical German Plays with Emotion Annotations
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BASE
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Show details
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