Building an Analytics Solution over a Text Document Repository
Description
This project leverages the power of Microsoft Fabric and Azure OpenAI to enrich and analyze a repository of text-based data. So many companies have valuable unstructured data that can now be unlocked with Azure OpenAI. In this project, Azure OpenAI enriches the data by performing entity extraction, text summarization, text classification, and embedding generation for semantic similarity. The end result is an analytics solution with Notebooks and Power BI over the document repository that can be used by both developers and business users!
Project name
Building an Analytics Solution over a Text Document Repository
Description
This project leverages the power of Microsoft Fabric and Azure OpenAI to enrich and analyze a repository of text-based data. So many companies have valuable unstructured data that can now be unlocked with Azure OpenAI. In this project, Azure OpenAI enriches the data by performing entity extraction, text summarization, text classification, and embedding generation for semantic similarity. The end result is an analytics solution with Notebooks and Power BI over the document repository that can be used by both developers and business users!
Project Repository URL
https://github.com/BrightonKahrs/project-gutenberg-analysis/tree/main
Project video
https://youtu.be/zfkZxRUkEn8
Team members
BrightonKahrs