Sentence examples for latent semantic analysis from inspiring English sources

The AutoTL adopts the latent semantic analysis to dig the semantics of both the target domain and the source domain.

Latent Semantic Analysis (LSA) framework is used to semantically interface PubMed abstracts to the Gene Ontology.

Latent Semantic Analysis (LSA) framework is used to semantically interface PubMed abstracts to the Gene Ontology for better search performance since semantics is introduced.

Probabilistic Latent Semantic Analysis.

Optional: Read the Wikipedia page on latent semantic analysis.

Factor language models, like Latent Semantic Analysis, represent documents as mixtures of topics, and have a variety of applications.

The first is based on latent semantic analysis (LSA), which requires a reasonable level of handwriting recognition performance.

Recently, multi-view learning via probabilistic latent semantic analysis (MVPLSA), is also designed for multi-view topic modeling.

Latent Semantic Analysis (LSA), a natural language processing technique was applied to the abstracts of 975 academic papers.

Prior to joining Microsoft, she was at Bell Labs, where she worked on Latent Semantic Analysis, methods for combining search and navigation, and organizational impacts of information technology.

This indicates that Latent Semantic Analysis can be used to retrieve assembly work instructions authored in free text.