What’s in this notebook?
This is a worked example derived from my blog post on Making the Most of spaCy’s Rule-Based Matcher. It works through developing a matching algorithm to identify reasons people purchase products from a dataset of Amazon product reviews. For example, you can automatically generate a list like this for any product:
Customers buy this product ...
... as a replacement for a Salton model.
... as a Christmas gift for my son in law.
... as a new coffee maker for serving guests of an annual retreat we host in our home.
... as a spice grinder and are very happy.
... as a christmas gift for a friend and it works great.
... as a spice grinder and a coffee grinder
... because it was cheap and had good reviews, and I have not been disappointed.
... because of the excellent reviews.
... for grinding dry spices.
... for grinding coffee
... to grind beans for cold-brewed coffee.
... to grind spices instead of coffee and it works great.
... to grind xylitol and truvia sweeteners into a powder for cooking.