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1.0.0

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addax

Text analysis library

Published30 May 2025
Direct dependencies2
Transitive dependenciesNot calculated

README

Version 1.0.0 documentation

addax

Text analysis library

Installation

$ pip install addax

Usage

addax can be used to clean target text and then apply sentiment analysis to it in order to return a sentiment score and label, as follows:

from addax.addax import (
    read_csv,
    process_sentiment,
)

df = read_csv("file.csv") # path to your file
process_sentiment(df=df, target_column="comment", include_subjectivity=True, label=True)

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

addax was created by Dalia Tavizon-Dykstra. It is licensed under the terms of the MIT license.

Credits

addax was created with cookiecutter and the py-pkgs-cookiecutter template.

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Declared dependencies 2

Native requirements
2 direct targetsNot calculated transitive count
Package / targetRequirementRelationship
pandas
Environment
{
  "extras": "",
  "marker": null,
  "requires_python": "<4.0,>=3.12",
  "evaluation": "NOT_EVALUATED"
}
pandas<3.0.0,>=2.2.3runtime
textblob
Environment
{
  "extras": "",
  "marker": null,
  "requires_python": "<4.0,>=3.12",
  "evaluation": "NOT_EVALUATED"
}
textblob<0.20.0,>=0.19.0runtime

Distribution files

2 collected
addax-1.0.0-py3-none-any.whl

bdist_wheel · 5.34 KB · Python py3

Source file
addax-1.0.0.tar.gz

sdist · 6.08 KB · Python source

Source file

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Observed since 20 Oct, 19:16 UTC

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package_version:3bf970fbd8a56555b4f05284366a2102a8d58c695233eb9085f0e551c8ce349e

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