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Audiovisual . 2020
License: CC BY
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Audiovisual . 2020
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Tutorial: Analysieren und visualisieren mit CATMA

Manuelle Annotation und digitale Literaturanalyse
Authors: ForTEXT;

Tutorial: Analysieren und visualisieren mit CATMA

Abstract

In der Videoreihe „Manuelle Annotation und digitale Literaturanalyse“ zeigen wir, wie manuelle Annotation mit Hilfe des Annotationstools CATMA durchgeführt werden kann. Dafür erklären wir, wie du dich anmeldest und dein Projektmanagement organisieren kannst, wie Tagsets als Annotationstaxonomien angelegt werden und wie du annotieren und deine Annotationsdaten auswerten und visualisieren kannst. Dies ist das fünfte Video der Videoreihe. In diesem Video zeigen wir dir Klick-für-Klick wie Du deine Annotationen in CATMA 6 analysieren und visualisieren kannst. Dir stehen unterschiedliche Visualisierungsformate wie WordCloud, Double Tree oder Distribution Graph zur Verfügung. Aus den Visualisierungen ist der Sprung zurück in den literarischen Text stets nur einen Doppelklick entfernt. Und du kannst deine Visualisierungen ganz individuell anpassen. Mehr Infos CATMA Compact Manual: https://catma.de/how-to/tutorials/manual-annotation/ CATMA: https://app.catma.de Übersicht der Videoreihe: Tutorial: CATMA 6 zur digitalen Annotation nutzen Tutorial: Projektmanagement in CATMA 6 Tutorial: Tagsets in CATMA 6 anlegen Tutorial : In CATMA 6 annotieren Tutorial: Analysieren und visualisieren mit CATMA Hier zur Videoreihe auf Youtube

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average