AbusifyID
Abusiveness Verification in Bahasa Indonesia. Predict the abusiveness level of a sentence, detect abusive words, and filter abusive words.
Live Demo: https://abusifyid.streamlit.app/
Requirements
All requirements below have been installed automatically. Install manually if there are problems:
- [Python 2.6 or higher]
- scikit-learn
- pandas
- nltk
- pymysql
- python-decouple
- fuzzywuzzy
- python-Levenshtein
Installation
Install using pip.
pip install abusify-id
How to Use
Predict Abusiveness
Predict the abusiveness level of a sentence, using text input or .txt file input.
import abusify_id as ai
text = "Anjing, lu tolol ya!"
level = ai.predict_abusiveness(text)
print(level)
... 99.59%
import abusify_id as ai
ai.predict_abusiveness_file("input.txt", "output.txt")
... The results have been saved in a file: output.txt
with decimal_places:
import abusify_id as ai
text = "Anjing, lu tolol ya!"
level = ai.predict_abusiveness(text, decimal_places=5)
print(level)
... 99.59093%
import abusify_id as ai
ai.predict_abusiveness_file("input.txt", "output.txt", decimal_places=4)
... The results have been saved in a file: output.txt
Abusive Word Detector
import abusify_id as ai
text = "Anjing, lu tolol ya!"
detect = ai.abusiveword_detector(text)
print(detect)
... [Anjing](https://stopucapkasar.com/detail.php?id=9), [Tolol](https://stopucapkasar.com/detail.php?id=95)
Abusive Word Filter
import abusify_id as ai
text = "Anjing, lu tolol ya!"
filter = ai.abusiveword_filter(text)
print(filter)
... Sialan, lu bebal ya!
Website
Visit our website: https://stopucapkasar.com/
1 maintainer
Metadata
1 maintainer
Release files for abusify-id 0.13
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| abusify-id-0.13.tar.gz | 464.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| abusify_id-0.13-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 928.1 kB
Release files / abusify-id-0.13.tar.gz
| Download URL | abusify-id-0.13.tar.gz |
|---|---|
| Size | 464.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
|
Release files / abusify_id-0.13-py3-none-any.whl
| Download URL | abusify_id-0.13-py3-none-any.whl |
|---|---|
| Size | 464.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.12
|
Security for abusify-id 0.13
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