Topic Modeling, Data Science, Machine Learning, NLP, Tips And Tricks.
human-interpretable embeddings in the form of topics with these properties: Nonnegative. Obviously, counts cannot be negative, but the true importance is that nonnegativity forces the model to learn parts. One of my favorite short papers illustrates how nonnegativity forces a model to learn parts