-
Infomap Project, an NLP-oriented C
implementation of LSA (su****ded by
semanticvectors project) Text to
Matrix Generator Archived 2013-01-07 at archive.today...
- that
semantically similar data
items receive feature vectors close to each other.
Vector databases can be used for
similarity search,
semantic search...
-
creating semantic maps of
different subject domains; paraphrasing;
sentiment analysis;
modeling selectional preferences of words. S-Space
SemanticVectors Gensim...
- analyses,
semantic relatedness between units of
language (e.g., words, sentences) can also be
estimated using statistical means such as a
vector space model...
- do****ents. The
first generation of
semantic space models is the
vector space model for
information retrieval. Such
vector space models for
words and their...
-
search engines Semantic web
Semantic unification Resource Description Framework Natural language search engine Semantic query Vector database Word embeddings...
- The
Semantic Web,
sometimes known as Web 3.0 (not to be
confused with Web3), is an
extension of the
World Wide Web
through standards set by the
World Wide...
-
Vector space model or term
vector model is an
algebraic model for
representing text do****ents (or more generally, items) as
vectors such that the distance...
-
cosine similarity. This
indicates the
level of
semantic similarity between the words, so for
example the
vectors for walk and ran are nearby, as are those...
-
meaning representations, like
query graphs,
semantic graphs, or
vector representations. Most
modern deep
semantic parsing models are
either based on defining...
