In a helpful book on the indexing and searching of text-based electronic files, a well-respected computer scientist differentiated latent semantic indexing, which is a technique designed to analyze relationships among the words within documents, with vector space models, which can search efficiently using augmented inverted indices.
A) latent semantic indexing, which is a technique designed to analyze relationships among the words within documents, with vector space models, which can
B) between latent semantic indexing, which is a technique designed to analyze the relationships among words within documents, with vector space models, which can
C) among latent semantic indexing, which is a technique designed to analyze the relationships among words within documents, and vector space models, which can
D) latent semantic indexing, which is a technique designed to analyze the relationships among words within documents, and vector space models, which can
E) between latent semantic indexing, which is a technique designed to analyze relationships among the words within documents, and vector space models, which can
[spoiler]again a lengthy s/c[/spoiler]
A) latent semantic indexing, which is a technique designed to analyze relationships among the words within documents, with vector space models, which can
B) between latent semantic indexing, which is a technique designed to analyze the relationships among words within documents, with vector space models, which can
C) among latent semantic indexing, which is a technique designed to analyze the relationships among words within documents, and vector space models, which can
D) latent semantic indexing, which is a technique designed to analyze the relationships among words within documents, and vector space models, which can
E) between latent semantic indexing, which is a technique designed to analyze relationships among the words within documents, and vector space models, which can
[spoiler]again a lengthy s/c[/spoiler]
