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”.
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”.
MIT License