Topic Modeling with BERT - KDnuggets

"Which topic can frequently be found in these documents?" Void of any categories or labels I am forced to look into unsupervised techniques to extract these topics, namely Topic Modeling. Although topic models such as LDA and NMF have shown to be good starting points, I always felt it took quite some effort through hyperparameter tuning to create meaningful topics. Moreover, I wanted to use transformer-based models such as BERT as they have shown amazing results in various NLP tasks over the last few years. Pre-trained models are especially helpful as they are supposed to contain more accurate representations of words and sentences.