TokenJoin is an efficient method for solving the Fuzzy Set Similarity Join problem. It relies only on tokens and their defined utilities, avoiding pairwise comparisons between elements. It is submitted to the International Conference on Very Large Databases (VLDB). This is the repository for the python source code. More information about the original method can be found here.
You can easily install pytokenjoin from PyPI using pip:
pip install pytokenjoinMore on PyPI.
There are two ways to use TokenJoin:
- When using a threshold δ, e.g. δ=0.7
- When requesting top-k results, e.g. k=100.
There are also two similarity functions supported: Jaccard and Edit Similarity.
More information on how to use the functions can be found on this jupyter notebook.