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.
1 maintainer
Metadata
1 maintainer
Release files for addax 1.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| addax-1.0.0.tar.gz | 6.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| addax-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.7 kB
Release files / addax-1.0.0.tar.gz
| Download URL | addax-1.0.0.tar.gz |
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| Size | 6.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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|---|---|
| Size | 5.5 kB |
| Tags | Python 3 |
|
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