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Project description
Profanex
Profanex is a Python library for detecting and masking profanity in text using a combination of exact and fuzzy matching. It supports customizable banned and excluded word lists, configurable masking styles, and fast performance suitable for processing large volumes of text.
Features
- Exact and fuzzy profanity detection with adjustable similarity threshold
- Masking profanity with configurable styles (e.g., stars)
- Load banned and excluded words from YAML files or directly via Python sets
- Excludes specific words from masking (e.g., “on”, “no”)
- Simple API with
has_profanity()andclean()methods
Installation
pip install profanex
Usage
from profanex import ProfanityFilter
pf = ProfanityFilter()
text = "You are a b1tch!"
if pf.has_profanity(text):
clean_text = pf.clean(text)
print(clean_text) # Output: You are a *****!
Performance
Profanex can process 10,000 average-length text entries in under 1.5 seconds on modern hardware, making it well-suited for both real-time and batch profanity filtering.
For larger workloads, Profanex supports parallel processing using Python's concurrent.futures module. When executed with ProcessPoolExecutor, Profanex can leverage all available CPU cores to efficiently clean or scan tens of thousands of texts in parallel with minimal overhead.
- See
scripts/benchmark_clean_parallel.pyfor an Example
Configuration
You can customize the banned and excluded word lists by providing your own YAML files or Python sets during initialization.
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