WORD PS

A module for word similarity evaluation

Author: Lucas Nunes Sequeira

Instalation

Installing the dependency

$ pip install word-ps

Using

Weighted Similarity

This method calculates a number between 0 and 1 to measure how to strings are similar to each other. It uses continuous substring matching weighted by the strings lengths.

Example

from word_ps.word_similarity import weighted_similarity

string1 = "I love banana"
string2 = "I love pinaple"

score = word_similarity(string1, string2)

Updating package

1. Install twine

   $ pip install twine

2. Check you are in the root of the project

   ~/.../word_ps$ ls
   dist  LICENCE  pyproject.toml  README.md  requirements.txt  setup.cfg  setup.py  src  tests

3. Run setup:

   $ python setup.py sdist

4. Run twine (check if dist/ has only latest package):

   $ twine upload dist/*

5. Update git:

   $ git add . && git commit -m "update dist files" && git push