Machine Learning in Accounting
Project Description
It is estimated that more than 80% of all available data are unstructured. In contrast to the data abundance, its impact on the capital market or firm operations is relatively underexplored. This project explores a form of unstructured data (i.e., textual data) to answer an important policy-relevant question.
Supervisor
CHO, Tony
Quota
1
Course type
UROP1000
UROP1100
Applicant's Roles
- Collect, clean, and transform the textual data
- Required: Prior experience with Python & basic knowledge of textual analysis
- Preferred: Knowledge in languages other than English
- Preferred: Knowledge in transformers
- Required: Prior experience with Python & basic knowledge of textual analysis
- Preferred: Knowledge in languages other than English
- Preferred: Knowledge in transformers
Applicant's Learning Objectives
- Have a thorough understanding of accounting
- Be proficient in the language of natural language processing (NLP)
- Be proficient in the language of natural language processing (NLP)
Complexity of the project
Challenging