4. (2 marks) Given the following 3 x 4 term-document matrix C, perform Latent Se- mantic...

   

Transcribed Image Text:

4. (2 marks) Given the following 3 x 4 term-document matrix C, perform Latent Se- mantic Indexing (LSI), aka Latent Semantic Analysis (LSA), using rank-2 truncated Singular Value Decomposition (SVD). [1 0 0 2] C=0 0 3 0 0200 What will be U2 the truncated SVD term matrix? What will be the truncated SVD document matrix? What will be C2 the rank-2 approxi- mation of the term-document matrix? You can use any programming language or software package to solve this problem. There is no need to submit the code of any program that you have written. Only the final answers are required. 4. (2 marks) Given the following 3 x 4 term-document matrix C, perform Latent Se- mantic Indexing (LSI), aka Latent Semantic Analysis (LSA), using rank-2 truncated Singular Value Decomposition (SVD). [1 0 0 2] C=0 0 3 0 0200 What will be U2 the truncated SVD term matrix? What will be the truncated SVD document matrix? What will be C2 the rank-2 approxi- mation of the term-document matrix? You can use any programming language or software package to solve this problem. There is no need to submit the code of any program that you have written. Only the final answers are required.

Answer rating: 100% (QA)

array1 0 0 2 0 0 3 0 0 0 0 0 Th... View the full answer