Introduction
Have you ever wondered how movies and videos manage to censor offensive language without completely removing the words? It’s often accomplished through manual editing. However, In this tutorial, we’ll learn about an automated solution, profanity filters in Python. We’ll explore the profanity-filter library to detect and censor bad words from text data.
Profanity filters are essential tools for maintaining a clean and respectful online environment. They play a crucial role in websites, social media platforms, and more, by identifying and censoring inappropriate language within user-generated content. Administrators can customize these filters to target specific categories of inappropriate language, including hate speech, sexual content, swear words, and other undesirable terms.
In Python, there are two prominent tools for implementing profanity filters the better-profanity package and the profanity-filter library. In this tutorial, we’ll be focusing on profanity-filter. It’s a powerful choice because it offers several key features:
- Flexibility: Censor entire sentences or target specific words.
- Multilingual Support: Handles both English and Russian, even in mixed-language text.
- Deep Analysis: Goes beyond exact matches to catch cleverly disguised offensive words.
- Partial Censoring: Option to mask only part of a word (e.g., “h***”).
By the end of this journey, you’ll be equipped to write Python programs that effectively censor profanity, creating a more positive and inclusive online experience.
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Setting Up the Environment
To get started, let’s make sure you have the right tools. Here’s what you’ll need:
- Install profanity-filter: pip install profanity-filter
- Download Language Resources: python -m space download en
Censoring Bad Words from a Text
from profanity_filter import ProfanityFilter
pf = ProfanityFilter()
print(pf.censor("You've stolen my money, you bastard!"))
# Censor individual words
print(pf.censor_word('lesbian'))
Output
You’ve stolen my money, you *******!
*******
Censoring Profanity in Russian Texts
Profanity-Filter extends its support to the Russian language as well. Here’s how you can filter obscene words in Russian texts:
from profanity_filter import ProfanityFilter
# Select Russian Language
pf = ProfanityFilter(languages=['ru'])
#Блядь == F**k...
print(pf.censor("Блядь"))
Output
*******
Customizing Censorship
You can control how bad words are censored. Replace them with asterisks (*), a funny symbol like &%$#@.
from profanity_filter import ProfanityFilter
pf = ProfanityFilter()
pf.censor_char = '$'
print(pf.censor("You look like a shit"))
Output
You look like a $$$$
Checking whether a string contains any swear words
from profanity_filter import ProfanityFilter
pf = ProfanityFilter()
bad_text = "You are a bitch!"
# Check if the string contains any bad words or not
print("Not bad words: ", pf.is_clean(bad_text))
print("Bad words: ", pf.is_profane(bad_text))
Output
Not bad words: False
Bad words: True
Censoring obscene words with a custom word list
First, we’ll add our own custom word list. But there is a problem. By doing so, the program can filter only those words present in the custom list. Let’s see an example:
from profanity_filter import ProfanityFilter
pf = ProfanityFilter()
pf.custom_profane_word_dictionaries = {'en': {'want', 'marry'}}
print(pf.censor("I want to marry her., shit"))
Output
I **** to ***** her., shit
In this example, we’ll solve the above problem. First, we’ll restore the default profane word dictionaries and then add a custom word dictionary to this line of code: ProfanityFilter.extra_profane_word_dictionaries().
from profanity_filter import ProfanityFilter
pf = ProfanityFilter()
pf.custom_profane_word_dictionaries = {'en': {'want', 'marry'}}
print(pf.censor("I want to marry her., shit"))
# Restore the default profane word dictionaries
pf.restore_profane_word_dictionaries()
# A simple change in the code, custom -> extra
pf.extra_profane_word_dictionaries = {'en': {'want', 'marry'}}
print(pf.censor("I want to marry her., shit"))
Output
I **** to ***** her., shit
I **** to * her., ****
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Summary
Congratulations! In this tutorial, you’ve learned how to use the profanity-filter library in Python to censor obscene words from your text data. We’ve explored several programming examples to get you started.
The profanity-filter library can actually detect distorted and derivative words, not just exact matches. However, this “deep analysis” feature requires additional libraries and dictionaries specific to your chosen language. Since it’s a more complex setup, I can create a separate tutorial if there’s enough interest. Just let me know in the comments below!
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Thanks for reading! I hope you found this tutorial helpful.
