A method for finding hidden topics in many texts without human labels.
Topic modeling is like dumping a giant group chat onto the table. It sorts the mess into piles: homework, pizza, drama.
It scans big piles of text before anyone reads them all. It helps with public posts, papers, and support tickets.
LDA
LDA is a classic Topic Modeling method based on probability.
Bag-of-Words
Early Topic Modeling often uses Bag-of-Words to count words.
Unsupervised Learning
Topic Modeling is usually Unsupervised Learning, with no labels needed.
Clustering
Topic Modeling is like Clustering, but it groups topics in text.