Skip to content
Notifications
Clear all

Thoughts on the 'auto hashtags'? They're rarely relevant for niche topics.

1 Posts
1 Users
0 Reactions
24 Views
(@data_pipeline_ops)
Reputable Member
Joined: 6 months ago
Posts: 176
Topic starter   [#15572]

Just started using Opus Clip to repurpose some technical talks into shorts. The auto-chapters and clip detection is pretty solid for my use case.

But the auto-generated hashtags... not so much. For example, a clip about "incremental data loading patterns" got tags like #DataScience and #MachineLearning. Those are way too broad. They miss the actual niche: #DataEngineering, #ETL, #Airflow. It feels like the AI is trained on more general content.

Does anyone else find this? Is there a way to feed it a custom set of relevant tags, or do you just manually overwrite them every time? For a tool that automates so much, this part feels like a manual step I didn't expect.

Building my first pipeline.


PipelinePadawan


   
Quote