semantic matrix
1Semantic memory — refers to the memory of meanings, understandings, and other concept based knowledge unrelated to specific experiences. The conscious recollection of factual information and general knowledge about the world,cite web… …
2Semantic similarity — or semantic relatedness is a concept whereby a set of documents or terms within term lists are assigned a metric based on the likeness of their meaning / semantic content. Concretely, this can be achieved for instance by defining a topological… …
3Semantic relatedness — Computational Measures of Semantic Relatedness are [http://cwl projects.cogsci.rpi.edu/msr/ publically available] means for approximating the relative meaning of words/documents. These have been used for essay grading by the Educational Testing… …
4Semantic mapping (statistics) — The semantic mapping (SM) is a dimensionality reduction method that extracts new features by clustering the original features in semantic clusters and combining features mapped in the same cluster to generate an extracted feature. Given a data… …
5Latent semantic analysis — (LSA) is a technique in natural language processing, in particular in vectorial semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms. LSA was …
6Latent Semantic Indexing — (kurz LSI, englisch für schwache Bedeutungseinordnung) ist ein (patentgeschütztes) Verfahren des Information Retrieval, das 1990 zuerst von Deerwester et al.[1] erwähnt wurde. Verfahren wie das LSI sind insbesondere für die Suche auf großen… …
7Latent Semantic Analysis — Analyse sémantique latente L’analyse sémantique latente (LSA, de l anglais : Latent semantic analysis) ou indexation sémantique latente (ou LSI, de l anglais : Latent semantic indexation) est un procédé de traitement des langues… …
8Latent Semantic Analysis — Latent Semantic Indexing (kurz LSI) ist ein (patentgeschütztes) Verfahren des Information Retrieval, das 1990 zuerst von Deerwester et al.[1] erwähnt wurde. Verfahren wie das LSI sind insbesondere für die Suche auf großen Datenmengen wie dem… …
9Document-term matrix — A document term matrix or term document matrix is a mathematical matrix that describes the frequency of terms that occur in a collection of documents. In a document term matrix, rows correspond to documents in the collection and columns… …
10Non-negative matrix factorization — NMF redirects here. For the bridge convention, see new minor forcing. Non negative matrix factorization (NMF) is a group of algorithms in multivariate analysis and linear algebra where a matrix, , is factorized into (usually) two matrices, and… …
