Topic-specific corpus building

A step towards a representative newspaper corpus on the topic of return migration using text mining methods

Bibliographic Data

ID22260565
AuthorsSarah Oberbichler (0000-0002-1031-2759, Universität Innsbruck), Eva Pfanzelter (0000-0002-5033-7344, Universität Innsbruck)
Year2021
Volume1
Issue1
Pages74-98
Publication date2021-09-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Digital History (JOURNAL)
Journal identifiersISSN: 2747-5271 • E-ISSN: 2747-5271
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/jdh-2021-1003
OpenAlexW4285369099
LanguageEN
Citations received3
References cited10

H umanities researchers often encounter the problem that their specialized corpora, created by keyword searches, either contain documents that are irrelevant for their research questions because the search queries were too broad, or they miss relevant documents because the search requests were too narrow. The reason for this lies in the complexity of language, which is characterized by ambiguity and concepts that are dif cult, if not impossible, to trace by computational methods and thus keyword searches alone. This paper shows how text mining methods can support the building of a topicspeci c corpus. Using the example of return migration issues, the aim is, on Journal of Digital History This work has been supported by the European Union Horizon 2020 research and innovation programme under grant 770299 (NewsEye)

Corpus linguistics · Information retrieval · Linguistics · Media studies · Natural language processing · Newspaper · Sociology · Computational and Text Analysis Methods · Computer Science · Artificial Intelligence

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