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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - In Search of Meaning
T2 - Lessons, Resources and Next Steps for Computational Analysis of Financial Discourse
AU - El Haj, Mahmoud
AU - Rayson, Paul Edward
AU - Walker, Martin
AU - Young, Steven Eric
AU - Simaki, Vasiliki
PY - 2019/4/30
Y1 - 2019/4/30
N2 - We critically assess mainstream accounting and finance research applying methods from computational linguistics (CL) to study financial discourse. We also review common themes and innovations in the literature and assess the incremental contributions of work applying CL methods over manual content analysis. Key conclusions emerging from our analysis are: (a) accounting and finance research is behind the curve in terms of CL methods generally and word sense disambiguation in particular; (b) implementation issues mean the proposed benefits of CL are often less pronounced than proponents suggest; (c) structural issues limit practical relevance; and (d) CL methods and high quality manual analysis represent complementary approaches to analyzing financial discourse. We describe four CL tools that have yet to gain traction in mainstream AF research but which we believe offer promising ways to enhance the study of meaning in financial discourse. The four approaches are named entity recognition, summarization, semantics and corpus linguistics.
AB - We critically assess mainstream accounting and finance research applying methods from computational linguistics (CL) to study financial discourse. We also review common themes and innovations in the literature and assess the incremental contributions of work applying CL methods over manual content analysis. Key conclusions emerging from our analysis are: (a) accounting and finance research is behind the curve in terms of CL methods generally and word sense disambiguation in particular; (b) implementation issues mean the proposed benefits of CL are often less pronounced than proponents suggest; (c) structural issues limit practical relevance; and (d) CL methods and high quality manual analysis represent complementary approaches to analyzing financial discourse. We describe four CL tools that have yet to gain traction in mainstream AF research but which we believe offer promising ways to enhance the study of meaning in financial discourse. The four approaches are named entity recognition, summarization, semantics and corpus linguistics.
KW - 10‐K
KW - annual reports
KW - computational linguistics
KW - conference calls
KW - corpus linguistics
KW - earnings announcements
KW - machine learning
KW - NLP
KW - semantics
U2 - 10.1111/jbfa.12378
DO - 10.1111/jbfa.12378
M3 - Journal article
VL - 46
SP - 265
EP - 306
JO - Journal of Business Finance and Accounting
JF - Journal of Business Finance and Accounting
SN - 0306-686X
IS - 3-4
ER -