sparv-sbx-sentiment-kb-sent 0.4.0

A sparv plugin for computing sentiment for sentences.

sparv-sbx-sentiment-kb-sent

Plugin for computing sentiment as a Sparv annotation.

Install

With pipx

First, install Sparv as suggested:

pipx install sparv

Then install install sparv-sbx-sentiment-kb-sent with

pipx inject sparv sparv-sbx-sentiment-kb-sent

With uv-pipx

First, install Sparv as recommended:

uvpipx install sparv

Then install sparv-sbx-sentiment-kb-sent with

uvpipx install sparv-sbx-sentiment-kb-sent --inject sparv

Usage

Depending on how many explicit exports of annotations you have you can decide to use this annotation exclusively by adding it as the only annotation to export under xml_export:

xml_export:
  annotations:
    - <sentence>:sbx_sentiment_kb_sent.sentence-sentiment--kb-sent

To use it together with other annotations you might add it under export:

export:
    annotations:
        - <sentence>:sbx_sentiment_kb_sent.sentence-sentiment--kb-sent
        ...

Configuration

You can configure this plugin in the following way.

Number of Decimals

The number of decimals defaults to 3 but can be configured in config.yaml:

sbx_sentiment_kb_sent:
  num_decimals: 3

[!NOTE] This also controls the cut-off, so all values where the score round to 0.000 (or the number of decimals) is discarded.

Metadata

Model

Type	HuggingFace Model	Revision
Model	KBLab/robust-swedish-sentiment-multiclass	b0ec32dca56aa6182a6955c8f12129bbcbc7fdbd
Tokenizer	KBLab/megatron-bert-large-swedish-cased-165k	90c57ab49e27b820bd85308a488409dfea25600d

Supported Python versions

This library thrives to support a Python version to End-Of-Life, and will at least bump the minor version when support for a Python version is dropped.

The following versions of this library supports these Python versions:

• v0.3: Python 3.11
• v0.2: Python 3.8

Changelog

This project keeps a changelog.

License

This repository is licensed under the MIT license.

Development

Development prerequisites

• uv
• pre-commit

For starting to develop on this repository:

• Clone the repo (in one of the ways below): (in one of the ways below):
  • git clone [e-mail]:spraakbanken/sparv-sbx-sentiment-kb-sent.git
  • git clone https://github.com/spraakbanken/sparv-sbx-sentiment-kb-sent.git
• Setup environment: make dev
• Install pre-commit hooks: pre-commit install

Do your work.

Tasks to do:

• Test the code with make test or make test-w-coverage.
• Lint the code with make lint.
• Check formatting with make check-fmt.
• Format the code with make fmt.
• Type-check the code with make type-check.
• Test the examples with:
  • make test-example-small-txt
  • make test-example-issue-10

This repo uses conventional commits.

Release a new version

sparv-sbx-sentiment-kb-sent

• Prepare the CHANGELOG: make sparv-sbx-sentiment-kb-sent/CHANGELOG.md.
• Edit CHANGELOG.md to your liking.
• Add to git: git add --update
• Commit with git commit -m 'chore(release): prepare release' or cog commit chore 'prepare release' release.
• Bump version (depends on `bump-my-version)
  • First cd sparv-sbx-sentiment-kb-sent
  • Major: make bumpversion part=major
  • Minor: make bumpversion part=minor
  • Patch: make bumpversion part=patch or make bumpversion
  • Go back to repo root cd -
• Push main and tags to GitHub: git push main --tags or make publish
  • GitHub Actions workflow will build, test and publish the package to PyPi.
• Add metadata for Språkbanken's resource
  • Generate metadata: make generate-metadata
  • Upload the files from assets/metadata/export/sbx_metadata/utility to https://github.com/spraakbanken/metadata/tree/main/yaml/utility.