Product Reviews Text-based Search - OpenAI Text Embedding
By External Provider
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.
What you will learn
- Utilize OpenAI Text Embedding models for document text-based search
- Apply vector similarity measures for document text-based search
- Visualize text embedding vectors with Principal Component Analysis (PCA)