# RubixML/Sentiment

<https://repo.masters-masters.com/en/repos/RubixML/Sentiment>

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

RubixML/Sentiment has 119 stars on GitHub. Its RepoMasters card: Prototype tier. A feed-forward neural network for text sentiment classification trained on…

| Field | Value |
| --- | --- |
| Owner | [RubixML](https://repo.masters-masters.com/en/owners/RubixML) |
| Stars | 119 |
| Forks | 13 |
| Language | [PHP](https://repo.masters-masters.com/en/languages/php) |
| License | MIT |
| Created | 2018 |
| Topics | sentiment-analysis, sentiment-classification, neural-network, natural-language-processing, machine-learning, text-classification, deep-learning, tf-idf, tutorial, example-project |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [RubixML/Sentiment](https://github.com/RubixML/Sentiment) |

## Repository

A feed-forward neural network for text sentiment classification trained on 25,000 movie reviews.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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