News and Changelog#

  • 0.6.0 (26/05/22)

    • Fixed bug where the prediction visualizer repeats text when there is overlapping span. and intensifiers were considered outside of the sentences boundaries. Adressing #57

    • To use the new visualizers asent now required spacy version >= 3.3.0. However, can be run with spacy>=3.0.0.

    • Updates to documentation

  • 0.5.3 (26/05/22)

    • Fixed bug where negation and intensifiers were considered outside of the sentences boundaries. Adressing 58.

    • Improvements to the documentation. Thanks to @tomaarsen for the pull request.

  • 0.4.2 (28/05/22)

    • Added new Danish Dictionary from AFINN

    • Asent now support 81 languages using the autogenerated lexicons from Chen, Y., & Skiena, S. (2014).

    • Fixed minor bugs related to the Visualizer

    • Fixed spaCy pipelines used in text to allow for more consistent tests going forward.

    • Added pre-commit hooks to ensure future code quality.

  • 0.1.3 (02/01/22)

    • 96% Coverage on pytest πŸŽ‰

    • New Visualizer for visualizing the β€œanalysis” of the model, using spaCy dependency Visualizer

    • New CI for Tutorials to ensure that they always run

  • 0.1.0 (26/12/21)

    • Major updates to the documentation along with two new tutorials πŸ“–

    • Cool new infographics 😎

    • Changes:

      • make_token_polarity_getter no longer takes the is_negation_getter, but the is_negated_getter to avoid it setting the is_negated setting itself, potentially overwriting custom changes.

    • bug-fixes πŸͺ²:

      • Lexicons is now properly installed with the package

      • Empty string no longer causes a bug

      • All extentions are now overwritten when force=True

      • And many more

  • 0.0.3 (05/12/21)

    • First version of asent launches

      • with four different languages supported, some of which have never had rule-based sentiment models πŸŽ‰

      • Tutorials allowing you to get started using and customizing your sentiment pipeline πŸ”§

      • Visualizers for examining the predictions of the model 🌟

      • An extensive docuementation πŸ“–