Deep Learning for Financial Topic Modeling
- Fully typed with annotations and checked with mypy, PEP561 compatible
- Add yours!
We use poetry for dependency management. Install it from here. Then install the dependencies using.
poetry install fintopicsYou can access the help by using the command
fintopics --helpYou can prepare the dataset using the following commands:
# To prepare text data using 100 financial documents
fintopics prepare text --file_limit=100
# To prepare matrix data using 100 financial documents
fintopics prepare scamat --file_limit=100 The settings can be configured in fintopics.toml file.
This project was generated with wemake-python-package. Current template version is: 0933a30fc0dc01d374f8c55d7b1e2070b4118d7e. See what is updated since then.