Observed since 20 Oct, 19:16 UTC
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Text analysis library
Text analysis library
$ pip install addax
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)
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.
addax was created by Dalia Tavizon-Dykstra. It is licensed under the terms of the MIT license.
addax was created with cookiecutter and the py-pkgs-cookiecutter template.
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 1.0.0 | 30 May 2025 | 2 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 19:16 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:ee631cddffcf0e6ab8dc9849577e151b76d131a8b592ae456f1a8fc010efe663