Improved Topic modeling in Twitter through Community Pooling. (arXiv:2201.00690v1 [cs.IR])

Social networks play a fundamental role in propagation of information and
news. Characterizing the content of the messages becomes vital for different
tasks, like breaking news detection, personalized message recommendation, fake
users detection, information flow characterization and others. However, Twitter
posts are short and often less coherent than other text documents, which makes
it challenging to apply text mining algorithms to these datasets efficiently.
Tweet-pooling (aggregating tweets into longer documents) has been shown to
improve automatic topic decomposition, but the …

arxiv community modeling topic modeling twitter