About this document
01latent Semantic Analysis (LSA) by ab24mcf1r02 is a document available to read on EtoBox.
Latent Semantic Analysis (LSA) is a topic modeling technique that identifies hidden topics in a collection of documents by grouping words that frequently occur together. It involves preprocessing steps like tokenization and creating a Document-Term Matrix, followed by applying Singular Value Decomposition (SVD) to reduce dimensionality and uncover underlying patterns. LSA helps in understanding large text data and is widely used in natural language processing and social media analysis.
- Author
- ab24mcf1r02
- Language
- EN