Matches a category of Google's Taxonomy to product that is described in any kind of text data
It parses an input csv file (product.csv) and assigns one of the categories that are found in Google's taxonomy and writes the result back to another csv file (product.matched.csv).
> python matcher.py -h
usage: matcher.py [-h] [-o [OVERWRITE]] [bc [bc ...]]
Finds category based on Google's taxonomy in a product description
positional arguments:
bc The base categories of the product. Can speed up execution a lot. Example: matcher "Furniture" "Home & Garden"
optional arguments:
-h, --help show this help message and exit
-o [OVERWRITE], --overwrite [OVERWRITE]
If set category column in product file will be
overwritten
This script can be tweaked further. Copy settings.sample.yaml to settings.yaml and adjust accordingly.
More info about how it works can be found at http://www.bernhardwenzel.com/blog/2013/08/26/google-shopping-taxonomy-algorithm/
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