AI engineering glossary · NLP embeddings
What is topic modelling?
Topic modelling (also called Topic model): A family of unsupervised methods that discover groups of words that tend to appear together and describe each document as a mix of these groups. It is used to explore large text collections without labels.
Topic modelling: an example
Running topic modelling on 50,000 news articles may reveal clusters such as elections, cricket and monsoon.
Related terms
- Latent Dirichlet allocation
- Latent semantic analysis
- Document-term matrix
More NLP embeddings terms
- Transliteration
- Trigram
- Triplet loss
- Truncation
- Unicode normalisation
- Unigram
- Unigram language model tokeniser
- Viterbi algorithm
Where you learn it
Topic modelling is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.