Latent Semantics Analysis (LSA) Algorithm

Latent Semantics Analysis (LSA) Algorithm

1. Latent Semantic Analysis (LSA) is a mathematical method that tries to bring out latent relationships within a collection of documents. Rather than looking at each document isolated from the others it looks at all the documents as a whole and the terms within them to identify relationships.

2. http://blog.josephwilk.net/projects/latent-semantic-analysis-in-python.html

3. Vector Representation of a document

4. Text Mining

5. Implementation

   • Document Matrix
   • term frequency-inverse document frequency (td-idf)
   • Singular Value Decomposition
   • Reduction of the dimensions of sigma
   • Product with new sigma