Transform Your Visual Library into a Knowledge Graph with InfraNodus and ChatGPT

[@noduslabs]

Timestamps: 00:00:00 - Introduction 00:00:20 - Importance of Workflow 00:01:00 - Detailed Discussion of Problem to Be Solved 00:03:20 - Overview of CSV Design 00:04:10 - Discussion of ChatGPT Process and Utility 00:05:00 - Connecting Strengths of ChatGPT and InfraNodus 00:06:00 - Graph Iteration #1 (Initial) + Improvement Insights 00:08:00 - Graph Iteration #2 (Entity Extraction) + Improvement Insights 00:09:00 - Advanced Entity Extraction Needs 00:11:30 - Advanced Filtering Requirements 00:13:30 - CSV Reformatting 00:14:20 - Graph Iteration #3 (Advanced Entity Extraction) + Improvement Insights 00:17:00 - Nested Entity Extraction + ChatGPT Prompting Technique Description 00:19:00 - Graph Iteration #4 (Testing Nested Entity Extraction) 00:20:40 - Graph Iteration #5 (Final, Nested Entity Extraction + Image Data) 00:21:00 - Full Import Process Demo 00:24:00 - Final Graph Analysis 00:24:30 - Iterative "Reveal Underlying Ideas" Process (+ Filtering Mentions) 00:27:45 - Highlighting Topical Diversity 00:29:30 - Final Graph, Simplified 00:30:40 - Analyzing with Single and Multiple Tag Filters 00:32:30 - Viewing Images from Graph 00:35:00 - Reducing Graph by Most Central Concepts 00:36:30 - Filtering Graph by Time Range 00:38:00 - Chronological Dynamic Viewing 00:40:20 - Wrapping Up

[@ТатьянаКельсина-л6п]

Thanks for this video! Would you mind sharing what screencasting software you use?

[@Theblackchannel01]

😂

[@noduslabs]

Screen Studio