Readme
This application consists of a python package made to encode words and compare them through similarity calculation. The words are encoded in a matrix of 0's and 1's called "WordFP", where the first column refers to all the letters present in a word and the second column to the last refers to the position of a certain letter in a word. The search for similar words is calculated based on the metrics: geometric, arithmetic, tanimoto and tversky. A jupyter-notebook with an example of using this package is in the examples/how_to_use.ipynb directory
Another way to use this package is through of web app WordFP. It is possible to run locally too following the steps below.
Via pip
$ pip install wordfp
or
Via github
$ git clone https://github.com/jeffrichardchemistry/WordFP
$ cd WordFP
$ python3 setup.py install
The web application is in the "app/app.py" folder. Install dependencies:
$ pip install streamlit wordfp
To run:
$ cd .../app/
$ streamlit run app.py
This project was an idea I came up with at a random moment while studying my PhD work, I hope it can help someone someday in areas like natural language processing (NLP).
FAQs
A new way to encode words and similarity calculate.
We found that WordFP demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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