awesome-slugify
jellyfish
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awesome-slugify | jellyfish | |
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- | 3 | |
482 | 1,989 | |
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0.0 | 6.9 | |
about 4 years ago | 27 days ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 only | MIT License |
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awesome-slugify
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jellyfish
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Python Libraries
For sounds something like https://github.com/jamesturk/jellyfish ?
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Comparing Strings (Street Names) With Machine Learning
When comparing strings (in our case street names), there are plenty of off-the-shelf features that can be used, such as those provided by the jellyfish. This package also provides a number of phonetic encodings. We can combine an encoding with a metric, such as Levenshtein Distance, to measure the phonetic similarity between two street names.
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How to match names which differ slightly?
You can use a library like jellyfish which implements a bunch of string comparison algorithms, you'd just have to experiment and see which one gives the best results for you. I think I've had the best luck with Jaro-Winkler, then looking at the % match result and picking a cutoff above which I have good confidence that the match is real. It's still not perfect, and I really don't see how your last example would work with just about any automated comparison.
What are some alternatives?
python-slugify - Returns unicode slugs
fuzzywuzzy - Fuzzy String Matching in Python
ijson
TextDistance - 📐 Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
汉字拼音转换工具(Python 版) - 汉字转拼音(pypinyin)
Levenshtein - The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity
HaikunatorPY - Generate Heroku-like random names to use in your python applications
Pygments
json-streamer - A fast streaming JSON parser for Python that generates SAX-like events using yajl
ceja - PySpark phonetic and string matching algorithms
nider - Python package to add text to images, textures and different backgrounds