.copier-config.yaml

# Changes here will be overwritten by Copier; do NOT edit manually
_commit: v0.4.1
_src_path: gh:entelecheia/hyperfast-uv-template
author: Young Joon Lee
build_and_release: true
code_template_answers_file: .copier-hyfi-config.yaml
code_template_source: ''
codecov_graph_token: HJ6W0C0BXB
copyright_year: 2023
documentaion_tool: mkdocs
documentation_url: https://ekonlpy.entelecheia.ai
email: entelecheia@hotmail.com
favicon_path: https://assets.entelecheia.ai/favicon.png
friendly_name: 'eKoNLPy: Korean NLP Python Library for Economic Analysis'
github_repo_name: eKoNLPy
github_username: entelecheia
google_analytics_id: ''
logo_path: https://assets.entelecheia.ai/favicon.png
main_branch: master
open_link: true
package_name: ekonlpy
package_scripts:
- ekonlpy = 'ekonlpy.__cli__:main'
project_description: eKoNLPy is a Korean Natural Language Processing (NLP) Python
    library specifically designed for economic analysis. It extends the functionality
    of the MeCab tagger from KoNLPy to improve the handling of economic terms, financial
    institutions, and company names, classifying them as single nouns. Additionally,
    it incorporates sentiment analysis features to determine the tone of monetary
    policy statements, such as Hawkish or Dovish.
project_license: MIT
project_name: eKoNLPy
project_short_description: A Korean natural language processing toolkit for economic
    analysis
python_version: '3.12'
upload_to_release: true
upload_to_repository: true
use_launch_buttons: true
use_source_code_skeleton: true
uv_version: latest