# mpk001/Sentiment\_analysis

<https://repo.masters-masters.com/en/repos/mpk001/Sentiment_analysis>

[Home](https://repo.masters-masters.com/en) › [mpk001](https://repo.masters-masters.com/en/owners/mpk001) › [Sentiment\_analysis](https://repo.masters-masters.com/en/repos/mpk001/Sentiment_analysis)

mpk001/Sentiment\_analysis has 227 stars on GitHub. Its RepoMasters card: Prototype tier. 使用深度学习方法对IMDB电影评价做情感分析，使用的方法分别为：MLP、BiRNN、BiGRU+Attention Model

| Field | Value |
| --- | --- |
| Owner | [mpk001](https://repo.masters-masters.com/en/owners/mpk001) |
| Stars | 227 |
| Forks | 82 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2017 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [mpk001/Sentiment\_analysis](https://github.com/mpk001/Sentiment_analysis) |

## Repository

使用深度学习方法对IMDB电影评价做情感分析，使用的方法分别为：MLP、BiRNN、BiGRU+Attention Model

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.