# ddangelov/Top2Vec

<https://repo.masters-masters.com/en/repos/ddangelov/Top2Vec>

[Home](https://repo.masters-masters.com/en) › [ddangelov](https://repo.masters-masters.com/en/owners/ddangelov) › [Top2Vec](https://repo.masters-masters.com/en/repos/ddangelov/Top2Vec)

ddangelov/Top2Vec has 3,114 stars on GitHub. Its RepoMasters card: RC tier. Top2Vec learns jointly embedded topic, document and word vectors. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [ddangelov](https://repo.masters-masters.com/en/owners/ddangelov) |
| Stars | 3,114 |
| Forks | 371 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-3-Clause |
| Created | 2020 |
| Topics | topic-modeling, word-embeddings, document-embedding, topic-vector, topic-search, text-search, text-semantic-similarity, topic-modelling, semantic-search, bert |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [ddangelov/Top2Vec](https://github.com/ddangelov/Top2Vec) |

## Repository

Top2Vec learns jointly embedded topic, document and word vectors.

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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Data: GitHub · Illustration: the project’s public image, pixelated by RepoMasters.