Last updated:
0 purchases
biasedstopwords 2018.11.29.0
Contents
Overview
Available genres
Interactive Notebook
Installation
Basic usage
Running Test
Python compatibility
Overview
Biases are bugs
Stop words are words which are filtered out before processing of natural language data. Often in text analysis there are non-casual correlations, consider the following documents:
He is an astronaut, he is on Venus
He is an accountant, he is on Earth
She is an astronaut, she is on Mars
Processing these documents into two topics will result in gendered clustering. If we remove the gendered terms:
is an astronaut, is on Venus
is an accountant, is on Earth
is an astronaut, is on Mars
Processing will result in job clustering. Both clusterings are valid, however if you are interested in employing an astronaut, you don’t want male accountants showing up. There are many other examples of non casual relationships occurring in natural language; religion, ethnicity, and age to name but a few.
Available genres
Gendered Terms
US Names
Religious Terms (Partial)
More will be available soon. Contribute at https://github.com/gregology/biased-words
Interactive Notebook
Explore this package in an Interactive Notebook
Hosted by binder
Installation
biased-stop-words is available on PyPI
http://pypi.python.org/pypi/biased-stop-words
Install via pip
$ pip install biased-stop-words
Or via easy_install
$ easy_install biased-stop-words
Or directly from biased-stop-words’s git repo <https://github.com/gregology/biased-words>
$ git clone --recursive git://github.com/gregology/biased-stop-words.git
$ cd biased-stop-words
$ python setup.py install
Basic usage
>>> from biased_stop_words import genres, get_stop_words
>>> genres()
'religious, gendered, us-common-names, us-names, us-male-names, us-female-names, gendered-nouns'
>>> get_stop_words('gendered', 'us-common-names')
[u'trenton', u'augustine', u'khalil', u'aiden', u'elisabeth', u'andre', u'khanum', u'elva', u'fran...
Running Test
$ python biased_stop_words/tests.py
Python compatibility
Developed for Python 2 & 3.
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
There are no reviews.