Find your Best Bottle of Wine with NLP
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Discover how to recommend the best bottle of wine using Natural Language Processing (NLP). Learn to analyze customer reviews, wine descriptions, and preferences to build a personalized recommendation engine with Python.
At a Glance
Imagine you come into a wine store, and a knowledgeable vintner tells you all that you want to know about their wines and helps you select the best bottle based on your tastes and cravings. Since you had such a good experience you may buy more wine. This may even give you an idea to open an online wine store, based on a recommender system that provides the same recommendations, as the knowledgeable vintner.
In this Guided Project, you will use wine dataset and perform some data wrangling techniques to extract interesting information about wines, as well as you will use some Natural Language Processing (NLP) tools to build a recommender system for selecting wines.
A Look at the Project Ahead
– use Hugging Face Transformer model to create embeddings
– create a search function and visual search explorer to select wines
What You’ll Need
Everything else is provided to you via the IBM Skills Network Labs environment, where you will have access to the Cloud IDE and Python runtimes that we offer as part of the IBM Skills Network Labs environment. Remember that the IBM Skills Network Labs environment comes with many things pre-installed (e.g. Docker) to save them the hassle of setting everything up. Also note that this platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.
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