# linanqiu/word2vec-sentiments

<https://repo.masters-masters.com/en/repos/linanqiu/word2vec-sentiments>

[Home](https://repo.masters-masters.com/en) › [linanqiu](https://repo.masters-masters.com/en/owners/linanqiu) › [word2vec-sentiments](https://repo.masters-masters.com/en/repos/linanqiu/word2vec-sentiments)

linanqiu/word2vec-sentiments has 681 stars on GitHub. Its RepoMasters card: Alpha tier. Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting…

| Field | Value |
| --- | --- |
| Owner | [linanqiu](https://repo.masters-masters.com/en/owners/linanqiu) |
| Stars | 681 |
| Forks | 239 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2015 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [linanqiu/word2vec-sentiments](https://github.com/linanqiu/word2vec-sentiments) |

## Repository

Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by linanqiu

- [linanqiu/reddit-dataset · ★ 201 · Prototype](https://repo.masters-masters.com/en/repos/linanqiu/reddit-dataset)

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.