I mapped Every videos in a youtube channel grouped by video title & thumbnail similarity.
I generated embeddings for each video’s title and thumbnail, then used UMAP to reduce it to 2D and plotted it. Similar videos end up close together, so different types of content form clusters.
Link is ytmap
by Economy_Future_6752
7 Comments
WTF does similarity mean?
did PewDiePie and Linus Sebastian do no nut november?
Without explanation on what we re seeing, nobody can understand this. What is “similarity”? What are the dots representing? What is the density conveying?
this is interesting. Small suggestion: the glass morphism on the search bar makes it hard to read the placeholder text
YouTube video titles are pure clickbait, so it’s most likely meaningless. You could analyze the contents and summarize for semantic similarly.
Nice and kind of unexpected.
I wonder how each of those videos “would move” (see the Time Curves paper – essentially they drop the timestamp, take all pixels and project each frame using MDS… UMAP should work too. Lines are connected in temporal order)
What are those? Petri dishes?
With WHAT?? 😅