Explore: Semantic Similarity

Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between items is based on the likeness of their meaning

A semantic similarity network (SSN) is a special form of semantic network. designed to represent concepts and their semantic similarity. Its main contribution

derived from preceding terms. Explicit semantic analysis Information extraction Semantic similarity Stochastic semantic analysis Ontology learning Nitin Indurkhya;

Semantic memory refers to general world knowledge that humans have accumulated throughout their lives. This general knowledge (word meanings, concepts

forms of semantic networks has been created for specific use. For example, in 2008, Fawsy Bendeck's PhD thesis formalized the Semantic Similarity Network

Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between

metric, also called string similarity Semantic similarity, in computational linguistics Lexical similarity Semantic similarity Similitude (model), in engineering

Proportionality Semantic similarity Similarity (philosophy) Similarity space on numerical taxonomy Solution of triangles Spiral similarity Sibley 1998, p

and studies theories and methods for quantifying and categorizing semantic similarities between linguistic items based on their distributional properties

Semantic change (also semantic shift, semantic progression, semantic development, or semantic drift) is a form of language change regarding the evolution