Latent Dirichlet Allocation (Lda)
A generative statistical model used in natural language processing for automatically extracting topics from textual corpora.
Areas of application
- Natural Language Processing
- Text Mining
- Information Retrieval
- Document Clustering
- Content Recommendation
- Topic Modelling
- Machine Learning
- Sentiment Analysis
Example
For example, LDA can be used to analyze a collection of news articles and identify the underlying topics that are being discussed, such as politics, sports, or entertainment.