7 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CL2022★ 2 cited
Lex2Sent: A bagging approach to unsupervised sentiment analysis
Kai-Robin Lange, Jonas Rieger, Carsten Jentsch
Unsupervised text classification, with its most common form being sentiment analysis, used to be performed by counting words in a text that were stored in a lexicon, which assigns…
cs.CL2020★ 7 cited
Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs
Jonas Rieger, Lars Koppers, Carsten Jentsch +1
For organizing large text corpora topic modeling provides useful tools. A widely used method is Latent Dirichlet Allocation (LDA), a generative probabilistic model which models sin…