Alternate Low-Rank Matrix Approximation in Latent Semantic Analysis
The latent semantic analysis (LSA) is a mathematical/statistical way of discovering hidden concepts between terms and documents or within a document collection (i.e., a large corpus of text). Each document of the corpus and terms are expressed as a vector with elements corresponding to these concept...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2019-01-01
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| Series: | Scientific Programming |
| Online Access: | http://dx.doi.org/10.1155/2019/1095643 |