A module to detect sense words
Project description
pysenseword
A module for detecting sensitive words in text using different algorithms.
Available algorithms:
- DFA (Deterministic Finite Automaton)
- Aho-Corasick algorithm
- Regular expression
- String find
Example usage:
DFA:
from pysenseword import search
text = "This is a test text without a sensitivetest word."
results = search(text, method='dfa')
print(results)
Output:
{'find': True, 'word': 'sensivetest', 'dict': {'line': 7348, 'index': 30}}
or
{'find': False, 'word': '', 'dict': {'line': 0, 'index': 0}}
Other algorithms:
from pysenseword import search
text = "This is a test text without a sensitivetest word."
results = search(text, method='ac')
print(results)
Output:
{'find': True, 'words': {('sensitivetest', 30)}}
or
{'find': False, 'words': set()}
from pysenseword import search
text = "This is a test text without a sensitivetest word."
results = search(text, method='re')
print(results)
Output:
{'find': True, 'words': {('sensitivetest', 30)}}
from pysenseword import search
text = "This is a test text without a sensitivetest word."
results = search(text, method='str')
print(results)
Output:
The `search` function takes three arguments:
- `text`: the text to search for sensitive words
- `method`: the algorithm to use for detecting sensitive words. Available options are:
- `dfa`: DFA algorithm
- `ac`: Aho-Corasick algorithm
- `re`: Regular expression
- `str`: String find
Advanced usage:
You can customize the algorithm by passing additional arguments to the `search_advanced` function.
```search_advanced(text,method='dfa',dictionary='default',method_function=None, run_before=None, run_after=None):```
text: the text to search for sensitive words
method: the algorithm to use for detecting sensitive words. Usage is same as in `search` function.
dictionary: the dictionary to use for detecting sensitive words. Usage is same as in `search` function.
method_function: a function that takes the text and returns a list of sensitive words. If not provided, the default function is used.
run_before: a function that takes the text and returns the modified text before running the algorithm. If not provided, the default function is used.
run_after: a function that takes the text and the result of the algorithm and returns the modified result. If not provided, the default function is used.
Example usage:
```python
from pysenseword import search_advanced
text = "This is a test text without a sensitivetest word."
results = search_advanced(text, method='dfa', dictionary='default', method_function=None, run_before=None, run_after=None)
print(results)
Output:
{'find': True, 'word': 'sensivetest', 'dict': {'line': 7348, 'index': 30}}
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