Deep Learning NLP in finance
Project Description
There has been an exponential increase in the volume of financial textual data in the past decades, making NLP an essential tool for large-scale financial documents. BERT, developed by Google, is the state-of-art language model that outperforms traditional machine learning in many NLP tasks. In this project, we will use BERT to train and fine-tune a language model for finance domain.
Supervisor
YANG Yi
Quota
1
Course type
UROP1100
UROP2100
Applicant's Roles
- Study BERT framework
- Train and fine-tune a BERT model for finance domain
- student in Computer Science (or relevant) major is preferred
- Train and fine-tune a BERT model for finance domain
- student in Computer Science (or relevant) major is preferred
Applicant's Learning Objectives
- practice with the state-of-art deep learning NLP model
- apply Deep Learning NLP in finance domain
- apply Deep Learning NLP in finance domain
Complexity of the project
Challenging