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addax

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Text analysis library

Versions collected1
Direct dependencies2From release 1.0.0
Last observed20 Oct, 19:16 UTC

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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Versions 1

Collected releases
VersionPublishedDirect dependenciesOpen version
1.0.030 May 20252

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Observed since 20 Oct, 19:16 UTC

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Record identity

package:ee631cddffcf0e6ab8dc9849577e151b76d131a8b592ae456f1a8fc010efe663