Textual analysis and sentiment analysis in accounting

被引:10
作者
Gandia, Juan L. [1 ]
Huguet, David [1 ]
机构
[1] Univ Valencia, Fac Econ, Dept Contabilidad, Valencia, Spain
关键词
Textual analysis; Sentiment analysis; Qualitative analysis; Signalling theory; INFORMATION-CONTENT; SOCIAL MEDIA; INVESTOR SENTIMENT; CONFERENCE CALLS; EARNINGS MANAGEMENT; FRAUD DETECTION; STOCK-PRICE; DISCLOSURE; NEWS; LANGUAGE;
D O I
10.6018/rcsar.386541
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In spite of the relatively scarce use of textual analysis and sentiment analysis techniques in finance and accounting, they have great potential in accounting, both because of the volume of documents used for the communication of information and due to the growth in the use of digital tools and social media. In that regard, these techniques of analysis may help researchers to analyse hidden clues or look for additional information to that one observed through financial information, increasing the quantity and quality of the information traditionally used, and providing a new perspective of analysis. The aim of this study is to review the use of textual analysis and sentiment analysis in accounting. After presenting the concepts of textual analysis and sentiment analysis and expose their interest in accounting, we perform a review of the previous literature on the use of these techniques in finance and accounting and describe the main techniques of sentiment analysis, as well as the procedure to be followed for the use of this methodology. Finally, we suggest three lines of future research that may benefit from the use of textual and sentiment analysis. (C) 2021 ASEPUC. Published by EDITUM -Universidad de Murcia. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:168 / 183
页数:16
相关论文
共 126 条
[1]  
Abrahamson E., 1996, Journal of Business Finance and Accounting, V23, P1157, DOI [10.1111/j.1468-5957.1996.tb01163.x, DOI 10.1111/J.1468-5957.1996.TB01163.X]
[2]  
Alcaide L., 2014, REV CONTAB, V17, P130, DOI DOI 10.1016/J.RCSAR.2014.05.001
[3]   The Structure of Voluntary Disclosure Narratives: Evidence from Tone Dispersion [J].
Allee, Kristian D. ;
Deangelis, Matthew D. .
JOURNAL OF ACCOUNTING RESEARCH, 2015, 53 (02) :241-274
[4]   Data mining applications in accounting: A review of the literature and organizing framework [J].
Amani, Farzaneh A. ;
Fadlalla, Adam M. .
INTERNATIONAL JOURNAL OF ACCOUNTING INFORMATION SYSTEMS, 2017, 24 :32-58
[5]  
Amernic J.H., 2010, MEASURING ASSESSING
[6]  
[Anonymous], 2008, J BUS COMMUN, DOI [10.1177/0021943608319388, DOI 10.1177/0021943608319388]
[7]   Is all that talk just noise? The information content of Internet stock message boards [J].
Antweiler, W ;
Frank, MZ .
JOURNAL OF FINANCE, 2004, 59 (03) :1259-1294
[8]   Firm performance, reporting goals, and language choices in narrative disclosures [J].
Asay, H. Scott ;
Libby, Robert ;
Rennekamp, Kristina .
JOURNAL OF ACCOUNTING & ECONOMICS, 2018, 65 (2-3) :380-398
[9]   Disclosure Readability and the Sensitivity of Investors' Valuation Judgments to Outside Information [J].
Asay, H. Scott ;
Elliott, W. Brooke ;
Rennekamp, Kristina .
ACCOUNTING REVIEW, 2017, 92 (04) :1-25
[10]   Investor sentiment in the stock market [J].
Baker, Malcolm ;
Wurgler, Jeffrey .
JOURNAL OF ECONOMIC PERSPECTIVES, 2007, 21 (02) :129-151