explosion/sense2vec

Health v2 · maintenance only

Adoption not part of the score

1679 stars · 236 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library implementing sense2vec, contextually-keyed word vectors that learn embeddings for multi-word phrases and part-of-speech-disambiguated senses. It integrates as a spaCy pipeline component and supports training custom vectors with GloVe or fastText.

Use cases

• find similar multi-word phrases like natural language processing
• query word vectors disambiguated by part of speech
• train contextually-keyed word vectors on my own text corpus
• add sense2vec vectors to a spaCy pipeline
• bootstrap named entity recognition lists from similar phrases
• compute semantic similarity between entity phrases

When to choose

• you already use spaCy and want phrase-level or sense-aware embeddings
• you need vectors for multi-word expressions and named entities
• you want to generate similar-phrase lists for rule-based NER patterns

When to avoid

• you need modern contextual transformer embeddings rather than static word vectors
• you need general-purpose sentence or document embeddings
• you don't use spaCy and only need plain word2vec

Facets

library · maturity stable

nlp machine-learning serialization machine-learning python word-vectors sense2vec word2vec embeddings spacy named-entity-recognition semantic-similarity natural-language-processing

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markdown · JSON · MCP: product_card(name="explosion/sense2vec")