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mkdocs.yaml
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mkdocs.yaml
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site_name: eKoNLPy
site_url: https://ekonlpy.entelecheia.ai
site_author: Young Joon Lee <entelecheia@hotmail.com>
site_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.
# Repository
repo_name: entelecheia/eKoNLPy
repo_url: https://github.com/entelecheia/eKoNLPy
edit_uri: edit/master/docs/
plugins:
- search
- mkdocstrings:
handlers:
# See: https://mkdocstrings.github.io/python/usage/
python:
options:
docstring_style: sphinx
markdown_extensions:
- markdown_include.include:
base_path: .
- pymdownx.arithmatex:
generic: true
- admonition
- pymdownx.caret
- pymdownx.details
# - pymdownx.emoji:
# emoji_generator: "!!python/name:materialx.emoji.to_svg"
# emoji_index: "!!python/name:materialx.emoji.twemoji"
- pymdownx.highlight:
anchor_linenums: true
line_spans: __span
pygments_lang_class: true
- pymdownx.inlinehilite
- pymdownx.keys
- pymdownx.snippets
- pymdownx.mark
- pymdownx.smartsymbols
- pymdownx.superfences:
custom_fences:
- name: mermaid
class: mermaid
format: "!!python/name:pymdownx.superfences.fence_code_format"
- pymdownx.tabbed:
alternate_style: true
- pymdownx.tasklist:
custom_checkbox: true
- pymdownx.tilde
theme:
name: material
favicon: https://assets.entelecheia.ai/favicon.png # favicon: Path to the favicon image
logo: https://assets.entelecheia.ai/favicon.png # logo: Path to the book logo
palette:
scheme: slate
features:
- navigation.expand
- navigation.indexes
- content.action.edit
- content.action.view
- content.code.annotate
- content.code.copy
# - content.tabs.link
- content.tooltips
- search.highlight
- search.share
- search.suggest
- toc.follow
extra:
analytics:
provider: google
property: G-VMN7QWCMSV