Extract synonyms from sentences using Aho Corasick algorithm
Project description
synonym-extractor
==============
Synonym Extractor is a python library that based on `Aho-Corasick algorithm
<https://en.wikipedia.org/wiki/Aho%E2%80%93Corasick_algorithm>`_.
The idea is to extract words that we care about from a given sentence in one pass.
Basically say I have a vocabulary of 10K words and I want to get all the words from that set present in a sentence. A simple regex match will take a lot of time to loop over the 10K documents.
Hence we use a simpler yet much faster algorithm to get the desired result.
Why
------
::
Say you have a corpus where similar words appear frequently.
eg: Last weekened I was in NY.
I am traveling to new york next weekend.
If you train a word2vec model on this or do any sort of NLP it will treat NY and new york as 2 different words.
Instead if you create a synonym dictionary like:
eg: NY=>new york
new york=>new york
Then you can extract NY and new york as the same text.
To do the same with regex it will take a lot of time:
============ ========== = ========= ============
Docs count # Synonyms : Regex synonym-extractor
============ ========== = ========= ============
1.5 million 2K : 16 hours NA
2.5 million 10K : 15 days 15 mins
============ ========== = ========= ============
The idea for this library came from the following `StackOverflow question
<https://stackoverflow.com/questions/44178449/regex-replace-is-taking-time-for-millions-of-documents-how-to-make-it-faster>`_.
Installation
-------
::
pip install synonym-extractor
Usage
------
::
# import module
from synonym.extractor import SynonymExtractor
# Create an object of SynonymExtractor
synonym_extractor = SynonymExtractor()
# add synonyms to it
synonym_names = ['NY', 'SF']
clean_names = ['new york', 'san francisco']
for synonym_name, clean_name in zip(synonym_names, clean_names):
synonym_extractor.add_to_synonym(synonym_name, clean_name)
synonyms_found = synonym_extractor.get_synonyms_from_sentence('I love SF and NY')
synonyms_found
>> ['san francisco', 'new york']
Algorithm
----------
synonym-extractor is based on `Aho-Corasick algorithm
<https://en.wikipedia.org/wiki/Aho%E2%80%93Corasick_algorithm>`_.
Documentation
----------
Documentation can be found at `Read the Docs
<http://synonym-extractor.readthedocs.org>`_.
License
-------
The project is licensed under the MIT license.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Close
Hashes for synonym_extractor-0.1.1-py3.5.egg
Algorithm | Hash digest | |
---|---|---|
SHA256 | dd66e8b726e080ad2e5b0dcc5764b955b168ac4ddab9b2ecd314c17f1580c588 |
|
MD5 | 9f52a83ceb0e6cc2f216e38b0a0377ff |
|
BLAKE2b-256 | 1c8092138385f8520d58377d299895011227cca6883344bc0dac64b5dc075e96 |
Close
Hashes for synonym_extractor-0.1.1-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | f82b1b7ba0c6d779f286abaf9aabd1175ee52bd112433bcded4c1c3a4e8e6a33 |
|
MD5 | a90b0a18b78b1ce866045d81bbc6a9a4 |
|
BLAKE2b-256 | d789b20e62492ccf274768536d2c14c758668888a66bdca9ae622114f99252fe |