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Product Reviews Text-based Search - OpenAI Text Embedding

By Coursera on Coursera · Data Science
Price
Free

About This Course

In this two-hour guided project, you will utilize the OpenAI API for text-based document search using the OpenAI text embedding model. SphereZone, a leading security system company, has enlisted your expertise to enhance their customer product review analysis system. They require an intelligent text-based document search algorithm to parse through their customer reviews and evaluate how individuals are discussing various aspects of their product. You will be provided with a dataset containing 89 customer reviews related to their Solar-Powered Outdoor Security Camera. As an AI Engineer, your objective is to utilize OpenAI text-embedding models to develop a Python application for this purpose. To get the most out of this course, you'll need access to the OpenAI API Key and a basic understanding of data analysis concepts, including data types, and data manipulation, along with some familiarity with Python.

Instructor

Ahmad Varasteh

Frequently Asked Questions

How much does Product Reviews Text-based Search - OpenAI Text Embedding cost?
Visit the Product Reviews Text-based Search - OpenAI Text Embedding course page for current pricing and available discounts.
Who teaches Product Reviews Text-based Search - OpenAI Text Embedding?
Product Reviews Text-based Search - OpenAI Text Embedding is taught by Ahmad Varasteh, Coursera.
What skill level is Product Reviews Text-based Search - OpenAI Text Embedding for?
This course is designed for all levels learners.