fintopics

Deep Learning for Financial Topic Modeling

Features

• Fully typed with annotations and checked with mypy, PEP561 compatible
• Add yours!

Installation

We use poetry for dependency management. Install it from here. Then install the dependencies using.

poetry install fintopics

Usage

You can access the help by using the command

fintopics --help

You 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.

License

MIT

Credits

This project was generated with wemake-python-package. Current template version is: 0933a30fc0dc01d374f8c55d7b1e2070b4118d7e. See what is updated since then.