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Natural Language Processing
Word Embeddings

Word Embeddings

[wɜrd ɪmˈbɛdɪŋz]
New Natural Language Processing
Last updated: 2026-06-05

Definition

Dense vector representations of words that capture semantic relationships.

Detailed Explanation

Word embeddings map words to high-dimensional vectors such that similar words have similar vector representations. These representations capture semantic relationships and allow mathematical operations on words. Popular methods include Word2Vec, GloVe, and FastText.

Use Cases

Search relevance, recommendation systems, document classification, machine translation

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