Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Adding semantics to microblog posts
Proceedings of the fifth ACM international conference on Web search and data mining
Mining microblogs to infer music artist similarity and cultural listening patterns
Proceedings of the 21st international conference companion on World Wide Web
Leveraging microblogs for spatiotemporal music information retrieval
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
| Hi-index | 0.00 |
We describe Streamwatchr, a real-time system for analyzing the music listening behavior of people around the world. Streamwatchr collects music-related tweets, extracts artists and songs, and visualizes the results in three ways: (i) currently trending songs and artists, (ii) newly discovered songs, and (iii) popularity statistics per country and world-wide for both songs and artists.