Improving biterm topic model with word embeddings
Improving biterm topic model with word embeddings
Jiajia Huang,Min Peng,2 Authors,Chao Xu
2020 · DOI: 10.1007/s11280-020-00823-w
World wide web (Bussum) · 24 Citations
TLDR
A novel probabilistic topic model, named Noise Biterm Topic Model with Word Embeddings (NBTMWE) is developed, which outperforms the state-of-the-art models in terms of coherence, topic word similarity and classification accuracy.