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We used ATLAS.ti software (Berlin, Germany) to manage textual data.
NVivo software [ 23] was utilized to manage textual data.
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The qualitative software MAXQDA, version 2007, was used for managing the textual data and to facilitate further analyses of findings from quantitative data.
Subsequently, data were entered into the JBI QARI software, which is designed to manage the synthesis of textual data as part of a systematic review of evidence [ 71].
The textual data were managed using Atlas ti V.6.
Template analysis [ 23] enabled us to efficiently analyse the large amount of textual data from 103 writing exercises managed in NVivo qualitative software.
However, currently it is a challenge to provide a common framework that allows us to manage knowledge obtained from data sent by heterogeneous moving objects (textual data, multimedia data, sensor data, etc).
Autonomy's specialism was taking large amounts of textual data and making sense of it.
Developed nearly 40 years ago, the system allows diverse computers to exchange textual data in a common numeric language.
Interpretive questions thus begin without firm textual data.
Topic modeling finds human-readable structures in unstructured textual data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com