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Using infranodus.com you can visualize the content of any CSV spreadsheet as a knowledge graph, so you can see the patterns in textual data and better understand the relations between different clusters of topics within.
Moreover, you can add filters based on quantitative data in the CSV so you can see how these patterns and insights are different across different categories (e.g. most viewed videos on your KZbin channel, high-engagement vs low-engagement content, etc)
See this brief tutorial to understand how it works and try it out with your own data on infranodus.com
Timecodes:
00:00:12- Introduction to analyzing spreadsheet data with AI-powered knowledge graphs for enhancing video engagement.
00:01:25 - Strategies for increasing likes per view as a success indicator.
00:02:59 - Importance of video titles in KZbin’s recommendation algorithm.
00:04:10 - Visualizing the relationship between video content categories and viewer engagement.
00:05:21 - Analysis reveals high engagement with AI, graph analysis, and KZbin-related content.
00:06:33 - Lower engagement found in technically complex topics like text network analysis.
00:07:44 - Insights on content strategy based on engagement data and KZbin promotion trends.
00:08:55 - Concluding with a guide on creating and analyzing CSV files for content optimization.
Try on infranodus.com