topic modeling

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence

Topic models extract groups of words from documents, whose interpretation as a topic hopefully allows for a better understanding of the data. However, the resulting word groups are often not coherent, making them harder to interpret. Recently, neural …

Cross-lingual Contextualized Topic Models with Zero-shot Learning

We introduce a novel topic modeling method that can make use of contextulized embeddings (e.g., BERT) to do zero-shot cross-lingual topic modeling.

Hey Siri. Ok Google. Alexa: A topic modeling of user reviews for smart speakers

User reviews provide a significant source of information for companies to understand their market and audience. In order to discover broad trends in this source, researchers have typically used topic models such as Latent Dirichlet Allocation (LDA). …