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- W4287250068 abstract "This paper describes how corpus-assisted discourse analysis based on keyword (KW) identification and interpretation can benefit from employing Market basket analysis (MBA) after KW extraction. MBA is a data mining technique used originally in marketing that can reveal consistent associations between items in a shopping cart, but also between keywords in a corpus of many texts. By identifying recurring associations between KWs we can compensate for the lack of wider context which is a major issue impeding the interpretation of isolated KWs (esp. when analyzing large data). To showcase the advantages of MBA in re-contextualizing keywords within the discourse, a pilot study on the topic of migration was conducted contrasting anti-system and center-right Czech internet media. was conducted. The results show that MBA is useful in identifying the dominant strategy of anti-system news portals: to weave in a confounding ideological undercurrent and connect the concept of migrants to a multitude of other topics (i.e., flooding the discourse)." @default.
- W4287250068 created "2022-07-25" @default.
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- W4287250068 date "2021-03-31" @default.
- W4287250068 modified "2023-10-14" @default.
- W4287250068 title "No Keyword is an Island: In search of covert associations" @default.
- W4287250068 doi "https://doi.org/10.48550/arxiv.2103.17114" @default.
- W4287250068 hasPublicationYear "2021" @default.
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