Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!
Table 3: Results for pre-trained word embeddings and k-means (KM) and k-medoids (KD). r indicates reranking of top words using term frequency.
['[EMPTY]', 'KM', 'KD', 'KM [ITALIC] r', 'KD [ITALIC] r']
KD also did relatively poorly after frequency reranking. Where KD did do better than KM, the difference is not very striking and the NPMI scores were still quite below the other top performing models.