Automatically classifying disaster/incident related tweets as either Informative or Non Informative. Implemented and evaluated two of the most popular Machine Learning Algorithms SVM and Naive Bayes Classification algorithm for automatic tweets classification. After Classification, Informative tweets are used to enrich the information to create a story line to form an article according to rNews ontology. Semantic linked grapph 'DBPedia' is traversed and used to enrich the information present in the Informative Tweet.

Reference: Traversing the Linking Open Data Cloud to Create News from Tweets by Francisco Berrizbeita and Maria-Esther Vidal: http://link.springer.com/chapter/10.1007%2F978-3-662-45550-0_48