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

研究成果: Article › 同行評審

原文	English
頁（從 - 到）	191-209
期刊	Journal of Information Systems
卷	36
發行號	3
DOIs	https://doi.org/10.2308/ISYS-2020-061
出版狀態	Published - 2022 9月 1

存取文件

10.2308/ISYS-2020-061

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

引用此

@article{90b5eca77415431ea9772c5b54772380,

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",

number = "3",

}

TY - JOUR

T1 - Report Users' Perceived Sentiments of Key Audit Matters and Firm Performance: Evidence from a Deep Learning-Based Natural Language Processing Approach

AU - Liu, Wu-po

AU - Yen, Meng-feng

AU - Wu, Tai-ying

PY - 2022/9/1

Y1 - 2022/9/1

U2 - 10.2308/ISYS-2020-061

DO - 10.2308/ISYS-2020-061

M3 - Article

SN - 0888-7985

VL - 36

SP - 191

EP - 209

JO - Journal of Information Systems

JF - Journal of Information Systems

IS - 3

ER -