This podcast episode is all about semantic search and using embeddings to analyse text and social media data.
Dominik Weckmüller, a researcher at the Technical University of Dresden, talks about his PhD research, where he looks at how to analyze text with geographic references.
He explains hyperloglog and embeddings, showing how these methods capture the meaning of text and can be used to search big databases without knowing the topics beforehand.
Here are the main points discussed:
Connect with Dominik Weckmüller here https://geo.rocks/
Stay up to date with AI here
https://huggingface.co/ Try searching for “map” here https://huggingface.co/spaces
Check out this project I am working on
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