-
Notifications
You must be signed in to change notification settings - Fork 25
Expand file tree
/
Copy path.copier-config.poetry.yaml
More file actions
33 lines (32 loc) · 1.36 KB
/
.copier-config.poetry.yaml
File metadata and controls
33 lines (32 loc) · 1.36 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
# Changes here will be overwritten by Copier; do NOT edit manually
_commit: v0.8.6
_src_path: gh:entelecheia/hyperfast-python-template
author: Young Joon Lee
build_and_release: true
code_template_answers_file: .copier-hyfi-config.yaml
code_template_source: ''
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
package_name: ekonlpy
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
upload_to_release: true
upload_to_repository: true
use_launch_buttons: false
use_source_code_skeleton: false