https://github.com/r1ck404/profanitydetection
A simple implementation of an algorithm that detects bad words.
https://github.com/r1ck404/profanitydetection
algorithms detection detection-algorithm python
Last synced: about 1 month ago
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A simple implementation of an algorithm that detects bad words.
- Host: GitHub
- URL: https://github.com/r1ck404/profanitydetection
- Owner: R1ck404
- Created: 2023-03-15T08:06:07.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-02-29T16:45:49.000Z (about 1 year ago)
- Last Synced: 2025-03-26T22:02:56.892Z (about 2 months ago)
- Topics: algorithms, detection, detection-algorithm, python
- Language: Python
- Homepage:
- Size: 6.84 KB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Profanity Detector
This project is a Python program for detecting bad words in a given text. The program includes a class called BadWordDetector, which reads a file of bad words and provides a detect() method that compares each word in a given text to the list of bad words and returns any detected bad words with their closest match and similarity percentage.
The program uses a simple algorithm to calculate the similarity between two words based on the number of common letter pairs in the two words. It is a lightweight and easy-to-understand implementation, making it accessible to developers of all skill levels.
The program can be used as a standalone script or easily integrated into larger applications. It is a useful tool for detecting bad language and inappropriate content in user-generated content.
## Usage Example
```py
from Model import BadWordDetector
detector = BadWordDetector('badwords.txt')
text = 'This is a test string and this repository is amazing like howly shhhhhit. this is really amazing tho like shhiiit'
detected_words = detector.detect(text)
if detected_words:
for word in detected_words:
print(f'{word[0]} ({word[1]}, {word[2]*100:.2f}% similarity)')
else:
print('No bad words detected')
```