.copier-config.yaml

# Changes here will be overwritten by Copier; do NOT edit manually
_commit: v0.14.2
_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: gh:entelecheia/hyfi-template
codecov_graph_token: BC2f1ooCPI
copyright_year: 2023
documentaion_tool: jupyter-book
documentation_url: https://hyfi-absa.entelecheia.ai
email: entelecheia@hotmail.com
favicon_path: https://assets.entelecheia.ai/favicon.png
friendly_name: HyFI-ABSA
github_repo_name: hyfi-absa
github_username: entelecheia
google_analytics_id: G-VMN7QWCMSV
logo_path: ''
main_branch: main
open_link: false
package_name: hyabsa
package_scripts:
- hyabsa = 'hyabsa.__cli__:main'
poe_task_files:
- .tasks.toml
- .tasks-extra.toml
project_description: The main function of HyFI-ABSA is to facilitate Aspect-Based
    Sentiment Analysis (ABSA), a specialized form of sentiment analysis that allows
    you to evaluate specific components or aspects of a given text. It also performs
    general sentiment analysis tasks. One feature of the HyFI-ABSA package is its
    capacity to employ generative language models for creating training datasets.
    This feature not only eliminates the extensive manual labor typically associated
    with data collection and preparation, but also ensures a more diverse and balanced
    dataset, which subsequently improves the overall performance and accuracy of sentiment
    analysis. In addition to these primary features, HyFI-ABSA boasts seamless integration
    with the existing HyFI architecture, thus allowing you to effortlessly combine
    it with other HyFI plugins and tools.
project_license: MIT
project_name: hyfi-absa
project_short_description: HyFI-ABSA is a Python package developed as a plugin for
    the Hydra Fast Interface (HyFI).
upload_to_release: true
upload_to_repository: true
use_launch_buttons: true
use_source_code_skeleton: true