Searching microblogs: coping with sparsity and document quality
Proceedings of the 20th ACM international conference on Information and knowledge management
A comparison of language identification approaches on short, query-style texts
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Leveraging microblogs for spatiotemporal music information retrieval
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Hi-index | 0.00 |
This paper describes the LiveTweet application, a system for automatically analysing and predicting the interestingness of microblog posts. Based on a stream of recent microblog posts the system tracks user interactions on Twitter that indicate interesting content. An incremental Naive Bayes model is trained to learn the characteristics of tweets which are considered interesting by the users. Finally, the probability of a microblog post to be retweeted is used as metric for its interestingness.