Following the posts in which I’ve used Clarifai’s deep leaning API to tag, classify and then automatically generate album covers, here’s a quick experiment to analyze… Continued reading Tagging YouTube’s music videos with Clarifai deep learning
24’s idea is simple: Identify the top-24 tracks of the top-24 genres played via YouTube during the last 24 hours on Twitter. It’s based on the… Continued reading 24 hours, 24 genres, 24 tracks: Discover YouTube music trends via Twitter
Following my journey with Google Cloud, in particular BigQuery, I’m building a pipeline which mines Tweets containing YouTube videos, and maps those videos to Freebase in order to run various discovery / recommendations… Continued reading Sharing YouTube music on Twitter: Analytics using Freebase and BigQuery
YouTube Music Key, YouTube’s music subscription service, is about to go live – and I’m obviously very excited about this. As YouTube is one of the top… Continued reading YouTube Music Key: My hopes for music discovery and personalisation
While the Twitter music app eventually failed, it’s still clear that people use Twitter’s data stream to share and/or discover new #music. Thanks to Twitter cards, a great thing… Continued reading Last night a DJ saved my life: What if Twitter could be your own DJ?
The YouTube V3 API is one of those thing you’ll definitely fall in love with, if you’re into real-world Semantic Web applications, a.k.a “Things, not… Continued reading Enhancing the Freebase/YouTube API mappings… using Freebase and YouTube
While catalogues now tend to be similar between streaming platforms, besides a few notable exceptions, it’s interesting to note how top-tracks can differ between services.… Continued reading Streaming the Pink Floyd: where are all the potheads?