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https://github.com/rominf/profanity-filter

A Python library for detecting and filtering profanity
https://github.com/rominf/profanity-filter

english-profanity filter filter-profanity filtering language lib library profanity profanity-detection profanity-filter profanityfilter python python3 russian-profanity spacy spacy-extension spacy-nlp

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A Python library for detecting and filtering profanity

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# profanity-filter: A Python library for detecting and filtering profanity

[![License](https://img.shields.io/pypi/l/profanity-filter.svg)](https://www.gnu.org/licenses/gpl-3.0.en.html)

![PyPI - Python Version](https://img.shields.io/pypi/pyversions/profanity-filter.svg)

[![PyPI](https://img.shields.io/pypi/v/profanity-filter.svg)](https://pypi.org/project/profanity-filter/)



## Archived

This library is no longer a priority for me. Feel free to fork it.



## Table of contents



   * [profanity-filter: A Python library for detecting and filtering profanity](#profanity-filter-a-python-library-for-detecting-and-filtering-profanity)

      * [Table of contents](#table-of-contents)

      * [Overview](#overview)

         * [Features](#features)

         * [Caveats](#caveats)

      * [Usage](#usage)

         * [Basics](#basics)

         * [Deep analysis](#deep-analysis)

         * [Multilingual analysis](#multilingual-analysis)

         * [Using as a part of Spacy pipeline](#using-as-a-part-of-spacy-pipeline)

         * [Customizations](#customizations)

         * [Console Executable](#console-executable)

         * [RESTful web service](#restful-web-service)

      * [Installation](#installation)

         * [Basic installation](#basic-installation)

         * [Deep analysis](#deep-analysis-1)

         * [Other language support](#other-language-support)

            * [Russian language support](#russian-language-support)

               * [Pymorphy2](#pymorphy2)

         * [Multilingual support](#multilingual-support)

         * [RESTful web service](#restful-web-service-1)

      * [Troubleshooting](#troubleshooting)

      * [Credits](#credits)



## Overview

`profanity-filter` is a universal library for detecting and filtering profanity. Support for English and Russian is 

included.



### Features

1. Full text or individual words censoring.

2. Multilingual support, including profanity filtering in texts written in mixed languages.

3. Deep analysis. The library detects not only the exact profane word matches but also derivative and distorted profane

words using the Levenshtein automata, ignoring dictionary words, containing profane words as a part.

4. Spacy component for using the library as a part of the pipeline.

5. Explanation of decisions (attribute `original_profane_word`).

6. Partial word censoring.

7. Extensibility support. New languages can be added by supplying dictionaries.

8. RESTful web service.



### Caveats

1. Context-free. The library cannot detect using profane phrases consisted of decent words. Vice versa, the library

cannot detect appropriate usage of a profane word.



## Usage

Here are the basic examples of how to use the library. For more examples please see `tests` folder.



### Basics

```python

from profanity_filter import ProfanityFilter



pf = ProfanityFilter()



pf.censor("That's bullshit!")

# "That's ********!"



pf.censor_word('fuck')

# Word(uncensored='fuck', censored='****', original_profane_word='fuck')

```



### Deep analysis

```python

from profanity_filter import ProfanityFilter



pf = ProfanityFilter()



pf.censor("fuckfuck")

# "********"



pf.censor_word('oofuko')

# Word(uncensored='oofuko', censored='******', original_profane_word='fuck')



pf.censor_whole_words = False

pf.censor_word('h0r1h0r1')

# Word(uncensored='h0r1h0r1', censored='***1***1', original_profane_word='h0r')

```



### Multilingual analysis

```python

from profanity_filter import ProfanityFilter



pf = ProfanityFilter(languages=['ru', 'en'])



pf.censor("Да бля, это просто shit какой-то!")

# "Да ***, это просто **** какой-то!"

```



### Using as a part of Spacy pipeline

```python

import spacy

from profanity_filter import ProfanityFilter



nlp = spacy.load('en')

profanity_filter = ProfanityFilter(nlps={'en': nlp})  # reuse spacy Language (optional)

nlp.add_pipe(profanity_filter.spacy_component, last=True)



doc = nlp('This is shiiit!')



doc._.is_profane

# True



doc[:2]._.is_profane

# False



for token in doc:

    print(f'{token}: '

          f'censored={token._.censored}, '

          f'is_profane={token._.is_profane}, '

          f'original_profane_word={token._.original_profane_word}'

    )

# This: censored=This, is_profane=False, original_profane_word=None

# is: censored=is, is_profane=False, original_profane_word=None

# shiiit: censored=******, is_profane=True, original_profane_word=shit

# !: censored=!, is_profane=False, original_profane_word=None

```



### Customizations

```python

from profanity_filter import ProfanityFilter



pf = ProfanityFilter()



pf.censor_char = '@'

pf.censor("That's bullshit!")

# "That's @@@@@@@@!"



pf.censor_char = '*'

pf.custom_profane_word_dictionaries = {'en': {'love', 'dog'}}

pf.censor("I love dogs and penguins!")

# "I **** **** and penguins"



pf.restore_profane_word_dictionaries()

pf.is_clean("That's awesome!")

# True



pf.is_clean("That's bullshit!")

# False



pf.is_profane("That's bullshit!")

# True



pf.extra_profane_word_dictionaries = {'en': {'chocolate', 'orange'}}

pf.censor("Fuck orange chocolates")

# "**** ****** **********"

```



### Console Executable

```bash

$ profanity_filter -h

usage: profanity_filter [-h] [-t TEXT | -f PATH] [-l LANGUAGES] [-o OUTPUT_FILE] [--show]



Profanity filter console utility



optional arguments:

  -h, --help            show this help message and exit

  -t TEXT, --text TEXT  Test the given text for profanity

  -f PATH, --file PATH  Test the given file for profanity

  -l LANGUAGES, --languages LANGUAGES

                        Test for profanity using specified languages (comma

                        separated)

  -o OUTPUT_FILE, --output OUTPUT_FILE

                        Write the censored output to a file

  --show                Print the censored text

```



### RESTful web service

Run:

```shell

$ uvicorn profanity_filter.web:app --reload

INFO: Uvicorn running on http://127.0.0.1:8000

...

```



Go to the `{BASE_URL}/docs` for interactive documentation.



## Installation

First two parts of installation instructions are designed for the users who want to filter English profanity.

If you want to filter profanity in another language you still need to read it.



### Basic installation

For minimal setup you need to install `profanity-filter` with is bundled with `spacy` and download `spacy`

model for tokenization and lemmatization:

```shell

$ pip install profanity-filter

$ # Skip next line if you want to filter profanity in another language

$ python -m spacy download en

```



For more info about Spacy models read: https://spacy.io/usage/models/.



### Deep analysis

To get deep analysis functionality install additional libraries and dictionary for your language.



Firstly, install `hunspell` and `hunspell-devel` packages with your system package manager.



For Amazon Linux AMI run:

```shell

$ sudo yum install hunspell

```



For openSUSE run:

```shell

$ sudo zypper install hunspell hunspell-devel

```



Then run:

```shell

$ pip install -U profanity-filter[deep-analysis] git+https://github.com/rominf/hunspell_serializable@49c00fabf94cacf9e6a23a0cd666aac10cb1d491#egg=hunspell_serializable git+https://github.com/rominf/pyffs@6c805fbfd7771727138b169b32484b53c0b0fad1#egg=pyffs

$ # Skip next lines if you want deep analysis support for another language (will be covered in next section)

$ cd profanity_filter/data

$ wget https://cgit.freedesktop.org/libreoffice/dictionaries/plain/en/en_US.aff

$ wget https://cgit.freedesktop.org/libreoffice/dictionaries/plain/en/en_US.dic

$ mv en_US.aff en.aff

$ mv en_US.dic en.dic

```



### Other language support

Let's take Russian for example on how to add new language support.



#### Russian language support

Firstly, we need to provide file `profanity_filter/data/ru_badwords.txt` which contains a newline separated list of

profane words. For Russian it's already present, so we skip file generation.



Next, we need to download the appropriate Spacy model. Unfortunately, Spacy model for Russian is not yet ready, so we 

will use an English model for tokenization. If you had not install Spacy model for English, it's the right time to do 

so. As a consequence, even if you want to filter just Russian profanity, you need to specify English in 

`ProfanityFilter` constructor as shown in usage examples.



Next, we download dictionaries in Hunspell format for deep analysis from the site 

https://cgit.freedesktop.org/libreoffice/dictionaries/plain/:

```shell

> cd profanity_filter/data

> wget https://cgit.freedesktop.org/libreoffice/dictionaries/plain/ru_RU/ru_RU.aff

> wget https://cgit.freedesktop.org/libreoffice/dictionaries/plain/ru_RU/ru_RU.dic

> mv ru_RU.aff ru.aff

> mv ru_RU.dic ru.dic

```



##### Pymorphy2

For Russian and Ukrainian languages to achieve better results we suggest you to install `pymorphy2`.

To install `pymorphy2` with Russian dictionary run:

```shell

$ pip install -U profanity-filter[pymorphy2-ru] git+https://github.com/kmike/pymorphy2@ca1c13f6998ae2d835bdd5033c17197dcba84cf4#egg=pymorphy2

```



### Multilingual support

You need to install `polyglot` package and it's requirements for language detection.

See https://polyglot.readthedocs.io/en/latest/Installation.html for more detailed instructions.



For Amazon Linux AMI run:

```shell

$ sudo yum install libicu-devel

```



For openSUSE run:

```shell

$ sudo zypper install libicu-devel

```



Then run:

```shell

$ pip install -U profanity-filter[multilingual]

```



### RESTful web service

Run:

```shell

$ pip install -U profanity-filter[web]

```



## Troubleshooting

You can always check will deep, morphological, and multilingual analyses work by inspecting the value of module

variable `AVAILABLE_ANALYSES`. If you've followed all steps and installed support for all analyses you will see the

following:

```python

from profanity_filter import AVAILABLE_ANALYSES



print(', '.join(sorted(analysis.value for analysis in AVAILABLE_ANALYSES)))

# deep, morphological, multilingual

```



If something is not right, you can import dependencies yourself to see the import exceptions:

```python

from profanity_filter.analysis.deep import *

from profanity_filter.analysis.morphological import *

from profanity_filter.analysis.multilingual import *

```



## Credits

English profane word dictionary: https://github.com/areebbeigh/profanityfilter/ (author Areeb Beigh).



Russian profane word dictionary: https://github.com/PixxxeL/djantimat (author Ivan Sergeev).