Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98153
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dc.contributorDepartment of English and Communicationen_US
dc.creatorHo, Jen_US
dc.creatorCheng, Wen_US
dc.date.accessioned2023-04-12T08:28:18Z-
dc.date.available2023-04-12T08:28:18Z-
dc.identifier.issn0889-4906en_US
dc.identifier.urihttp://hdl.handle.net/10397/98153-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.rights© 2016 Elsevier Ltd. All rights reserved.en_US
dc.rights© 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.rightsThe following publication Ho, J., & Cheng, W. (2016). Metaphors in financial analysis reports: How are emotions expressed?. English for Specific Purposes, 43, 37-48 is available at https://doi.org/10.1016/j.esp.2016.04.001.en_US
dc.subjectBNP Paribasen_US
dc.subjectCorpus linguisticsen_US
dc.subjectCredit crisisen_US
dc.subjectEmotionen_US
dc.subjectFinancial analysis reportsen_US
dc.subjectMetaphoren_US
dc.titleMetaphors in financial analysis reports : how are emotions expressed?en_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage37en_US
dc.identifier.epage48en_US
dc.identifier.volume43en_US
dc.identifier.doi10.1016/j.esp.2016.04.001en_US
dcterms.abstractThis study critically investigates the use of emotion metaphors in a corpus of BNP Paribas financial analysis reports produced during the credit crisis from 2011 to 2012. The corpus was examined to identify constituent words in the semantic category of 'Emotion'. Concordances for selected words in 'Emotion' were examined by adopting the Metaphor Identification Procedure in order to identify metaphors in the corpus. The emotion metaphors identified were then classified into different semantic domains, underpinned by Conceptual Metaphor Theory. The main findings of the study revolve around the conceptualisation of emotion words reflecting the market turbulence circa 2011. In addition, the findings show that BNP Paribas' corporate culture is revealed by the use of emotion metaphors in their financial analysis reports. The bank also uses varied metaphors to describe the emotions of investors. The study concludes that the identification of emotion terms for a conceptual metaphor analysis can be more effectively carried out by combining the methods of corpus linguistics, semantic annotation and Metaphor Identification Procedure. The study suggests important pedagogical implications for both ESP teachers and members of the financial services profession.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnglish for specific purposes, July 2016, v. 43, p. 37-48en_US
dcterms.isPartOfEnglish for specific purposesen_US
dcterms.issued2016-07-
dc.identifier.scopus2-s2.0-84963722373-
dc.identifier.eissn1873-1937en_US
dc.description.validate202304 bcwwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberENGL-0198-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6635183-
dc.description.oaCategoryGreen (AAM)en_US
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