Report Users' Perceived Sentiments of Key Audit Matters and Firm Performance: Evidence from a Deep Learning-Based Natural Language Processing Approach

Wu-po Liu; Meng-feng Yen; Tai-ying Wu

doi:10.2308/ISYS-2020-061

Report Users' Perceived Sentiments of Key Audit Matters and Firm Performance: Evidence from a Deep Learning-Based Natural Language Processing Approach

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	191-209
Journal	Journal of Information Systems
Volume	36
Issue number	3
DOIs	https://doi.org/10.2308/ISYS-2020-061
Publication status	Published - 2022 Sept 1

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10.2308/ISYS-2020-061

https://publications.aaahq.org/jis/article/36/3/191/103/Report-Users-Perceived-Sentiments-of-Key-Audit

Cite this

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title = "Report Users' Perceived Sentiments of Key Audit Matters and Firm Performance: Evidence from a Deep Learning-Based Natural Language Processing Approach",

author = "Wu-po Liu and Meng-feng Yen and Tai-ying Wu",

year = "2022",

month = sep,

day = "1",

doi = "10.2308/ISYS-2020-061",

language = "English",

volume = "36",

pages = "191--209",

journal = "Journal of Information Systems",

issn = "0888-7985",

publisher = "American Accounting Association",

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AU - Liu, Wu-po

AU - Yen, Meng-feng

AU - Wu, Tai-ying

PY - 2022/9/1

Y1 - 2022/9/1

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DO - 10.2308/ISYS-2020-061

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SN - 0888-7985

VL - 36

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JO - Journal of Information Systems

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