find-similar 2.2.0

User-friendly library to find similar objects

FindSimilar

User-friendly library to find similar objects

You can find Full Project Documentation here

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• Mission
• Open Source Project
• Features
• Requirements
• Development Status
• Install
• Quickstart
• Contributing

Mission

The mission of the FindSimilar project is to provide a powerful and versatile open source library that empowers developers to efficiently find similar objects and perform comparisons across a variety of data types. Whether dealing with texts, images, audio, or more, our project aims to simplify the process of identifying similarities and enhancing decision-making.

Open Source Project

This is the open source project with MIT license. Be free to use, fork, clone and contribute.

Features

Find similar texts

• on different languages
• with or without stopwords
• using dictionary (or not)
• using keywords (or not)

Requirements

• nltk, pymorphy3
• See more in Full Documentation

Development Status

• Package already available on PyPi
• See more in Full Documentation

Install

with pip

pip install find-similar

See more in Full Documentation

Quickstart

from find_similar import find_similar

texts = ['one two', 'two three', 'three four']

text_to_compare = 'one four'
find_similar(text_to_compare, texts, count=10)

[TokenText(text="one two", len(tokens)=2, cos=0.5), TokenText(text="three four", len(tokens)=2, cos=0.5), TokenText(text="two three", len(tokens)=2, cos=0)]

• The result is the list of TokenText instances ordering by cos
• cos is the mark of texts similarity

See more examples in Full Documentation

See the demonstration and mini tutorial in the Demo project

Contributing

You are welcome! To easy start please check:

• Full Documentation
• Contributing
• Developer Documentation
• Code of Conduct
• Security Policy
• Governance
• Support