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Implementation of the method TSTE for detecting popular topics in tweet dataset. Models topic as a set of semantically connected words using topic graph. Based on paper M. Cataldi, L. Di Caro i C. Schifanella, „Emerging Topic Detection on Twitter based on Temporal and Social Terms Evaluation”.
Implementation of the method Trend Miner for detecting popular topics in tweet dataset. Models topic as a set of semantically connected words using word cooccurrences. Based on paper N. Pervin, F. Fang, A. Datta, K. Dutta i D. Vandermeer, „Fast, scalable, and context-sensitive detection of trending topics in microblog post streams”.