Word embedding
In natural language processing (NLP), word embedding is a term used for the representation of words for text analysis, typically in the form of a real-valued vector that encodes the meaning of the word such that the words that are closer in the vector space are expected to be similar in meaning. Word embeddings can be obtained using a set of language modeling and feature learning techniques where words or phrases from the vocabulary are mapped to vectors of real numbers. Conceptually it involves the mathematical embedding from space with many dimensions per word to a continuous vector space with a much lower dimension.
known for
Wikipage redirect
Adam Tauman KalaiAlphaFoldAuthor profilingBiomedical text miningCategorical variableDeep learningDistributional semanticsDistributionalismDistributional–relational databaseDomain generation algorithmELMoElmo (disambiguation)EmbeddedEntity linkingFastTextGender bias on WikipediaGloVe (machine learning)Knowledge graphLanguage modelLatent semantic analysisLexical chainLuminosoNatural language processingOne-shot learningOrange (software)Paraphrasing (computational linguistics)Query expansionRecursive neural networkSemantic lexiconSemantic spaceSentence embeddingSpatial embeddingTag cloudTextual entailmentTf–idfTransformer (machine learning model)Triplet lossVectorizationWord-sense disambiguationWord2vec
Link from a Wikipage to another Wikipage
primaryTopic
Word embedding
In natural language processing (NLP), word embedding is a term used for the representation of words for text analysis, typically in the form of a real-valued vector that encodes the meaning of the word such that the words that are closer in the vector space are expected to be similar in meaning. Word embeddings can be obtained using a set of language modeling and feature learning techniques where words or phrases from the vocabulary are mapped to vectors of real numbers. Conceptually it involves the mathematical embedding from space with many dimensions per word to a continuous vector space with a much lower dimension.
has abstract
In natural language processing ...... arsing and sentiment analysis.
@en
Wikipage page ID
43,561,218
page length (characters) of wiki page
Wikipage revision ID
1,022,314,075
Link from a Wikipage to another Wikipage
wikiPageUsesTemplate
subject
hypernym
comment
In natural language processing ...... e with a much lower dimension.
@en
label
Word embedding
@en