Unsupervised clustering can be used for organization of micro-blog or other short length messages into message clusters. Messages can be compared with existing clusters to determine a similarity score. If at least one similarity score is greater than a threshold value, a message can be added to an existing message cluster. If a message is not similar to an existing cluster, the message can be compared against criteria for starting a new message cluster.