Sentence examples for lsa method from inspiring English sources

A review summarization algorithm is proposed in [11], in which the latent semantic analysis (LSA) method is used to identify textual features, which are accessible to experts and non-experts alike because of their appearance in general sites such as the popular Internet Movie Data Base (aka IMDB) online site and mobile application.

The LSA method needs far more computation than do the simpler tf-idf and BM25 approaches.

The original LSA method considers only data without replicates.

Several methods, including the original LSA method, have been proposed to overcome such difficulties [ 11, 16].

Latent Semantic Analysis (LSA) provides a method for open-ended text analysis using sophisticated statistical and mathematical algorithms [ 1].

LSA is a method for quantifying the similarity between words (or even whole passages) on the basis of statistical analyses of a large corpus of text.

LSA is a method that basically uses SVD to reduce the dimension according to singular values, while LLE and Isomap both compute low dimensional embedding based on k nearest neighbours.

Hence, we consider three dimension reduction methods: LSA, LLE and Isomap.

LSA is a straightforward statistical method that projects data onto a lower dimensional space, by an Eigen-decomposition of the tag co-occurrence matrix.

The introduction of fenestrated and branched endografts has made it possible to preserve blood flow of the LSA with a totally percutaneous method.

For LSA, we propose two protection methods named multiple user name (MNAME) and same user name (SNAME).