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A Corpus-based Approach to Taizhou’s Image in English News Media

Bibliographic Data

ID21838637
AuthorsXianyun Wang (0009-0008-1230-5772, Taizhou University, corresponding author)
Year2023
Volume15
Issue2
Pages140
Publication date2023-04-16
Open AccessYes
TypeARTICLE
VenueInternational Journal of Linguistics (JOURNAL)
Journal identifiersISSN: 1948-5425 • E-ISSN: 1948-5425
PublisherMacrothink Institute, Inc. (PUBLISHER)
DOI10.5296/ijl.v15i2.20944
OpenAlexW4367317345
LanguageEN
References cited1

The study of national and regional image is a significant topic in language, culture, and communication research. However, there has been limited research on the image of Taizhou City as portrayed in foreign media. This study employs a corpus-based approach to examine Taizhou's image in English media. Using the online corpus, News on the Web, the researchers created a virtual corpus (Taizhou Corpus) containing 98 relevant reports from English news media. The study analyzed the media coverage of Taizhou, the multidimensional image of Taizhou, and the sentiment of news reporting in Taizhou Corpus. The keywords for this study are Taizhou’s image, foreign media, corpus-based analysis, media coverage, and sentiment analysis

Corpus linguistics · Linguistics · Political science · Computer Science · Second Language Acquisition and Learning · Sentiment Analysis and Opinion Mining · Translation Studies and Practices · Artificial Intelligence

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