/LSI_Terms_Similarity

Gensim's typical SVD allows only querying a document against a corpus to find the closest matching documents. The idea is to use LSI to find term similarity.

Primary LanguagePython

LSI (Latent semantic analysis) is used to find similar documents in a corpus.

The typical use case is as follows:

  1. Given a document d, find the documents most similar to the given document.