.copier-config.yaml

# Changes here will be overwritten by Copier; do NOT edit manually
_commit: v0.14.4
_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: ''
codecov_graph_token: FZ6rvEttdM
copyright_year: 2024
documentaion_tool: jupyter-book
documentation_url: https://nlp4ss.jeju.ai
email: entelecheia@hotmail.com
favicon_path: https://assets.entelecheia.ai/favicon.png
friendly_name: NLP for Social Science
github_repo_name: nlp4ss
github_username: entelecheia
google_analytics_id: G-BQJE5V9RK2
logo_path: ''
main_branch: main
open_link: true
package_name: nlp4ss
package_scripts:
- nlp4ss = 'nlp4ss.__cli__:main'
poe_task_files:
- .tasks.toml
- .tasks-extra.toml
project_description: NLP for Social Science (nlp4ss) is a comprehensive, multilingual
    course and toolkit designed to bridge the gap between natural language processing
    (NLP) and social science research. This project provides researchers, students,
    and practitioners with the knowledge and tools to apply cutting-edge NLP techniques
    to social science questions. It covers a wide range of topics, including text
    preprocessing, sentiment analysis, topic modeling, and machine learning applications
    in social contexts. With interactive Jupyter notebooks, hands-on examples, and
    real-world case studies, nlp4ss offers a practical approach to integrating computational
    methods into social science research.
project_license: CC-BY-4.0
project_name: nlp4ss
project_short_description: A course on applying natural language processing (NLP)
    techniques for social science research.
upload_to_release: true
upload_to_repository: true
use_launch_buttons: true
use_source_code_skeleton: true