In Search of Meaning : Lessons, Resources and Next Steps for Computational Analysis of Financial Discourse
- Submitting institution
-
The University of Lancaster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 258263663
- Type
- D - Journal article
- DOI
-
10.1111/jbfa.12378
- Title of journal
- Journal of Business Finance and Accounting
- Article number
- -
- First page
- 265
- Volume
- 46
- Issue
- 3-4
- ISSN
- 0306-686X
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
B - Data Science
- Citation count
- 19
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is one of the key outputs resulting from eight years of research developing Natural Language Processing (NLP) techniques to the accounting and finance domain. The work was funded by four ESRC grants with co-funding from the Institute of Chartered Accountants in England and Wales (ICAEW) and the Financial Reporting Council (FRC) ensuring its direct dissemination into professional bodies and regulators. As well as helping to move forward the state of the art in financial text mining research, it has also led to funded collaborations with the Financial Conduct Authority (FCA) and the Pensions and Lifetime Savings Association (PLSA).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
