Why Topic Models Don’t Mean What We Think They Mean

Topic models are statistical methods that automatically discover themes in large collections of text by identifying patterns of words that tend to appear together. They represent each document as a mixture of topics, where each topic is a distribution over words. They are frequently used in qualitative content analysis, e.g., to see which topics occur in a set of documents, like historical…