Topic Modeling, Data Science, Machine Learning, NLP, Tips And Tricks.
mixed membership because text is complex and is rarely about a single topic. Sparse. The embeddings will be mostly zero. Each document is expected to talk about a small handful of topics. Nobody writes a 100-topic article. Human-interpretable loading vectors. In PCA and other embedding algorithms,