# SoulDGXu/Sentiment-Analysis-Chinese-pytorch

<https://repo.masters-masters.com/en/repos/SoulDGXu/Sentiment-Analysis-Chinese-pytorch>

[Home](https://repo.masters-masters.com/en) › [SoulDGXu](https://repo.masters-masters.com/en/owners/SoulDGXu) › [Sentiment-Analysis-Chinese-pytorch](https://repo.masters-masters.com/en/repos/SoulDGXu/Sentiment-Analysis-Chinese-pytorch)

SoulDGXu/Sentiment-Analysis-Chinese-pytorch has 128 stars on GitHub. Its RepoMasters card: Prototype tier. 中文的情感分析任务：基于Bi-LSTM+Attention模型，对2万条中文影评数据进行情感分类。Chi…

| Field | Value |
| --- | --- |
| Owner | [SoulDGXu](https://repo.masters-masters.com/en/owners/SoulDGXu) |
| Stars | 128 |
| Forks | 13 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Topics | nlp, sentiment-classification, sentiment-analysis, lstm |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [SoulDGXu/Sentiment-Analysis-Chinese-pytorch](https://github.com/SoulDGXu/Sentiment-Analysis-Chinese-pytorch) |

## Repository

中文的情感分析任务：基于Bi-LSTM+Attention模型，对2万条中文影评数据进行情感分类。Chinese sentiment analysis task: Based on the Bi-LSTM+Attention model, sentiment classification is performed on 20,000 Chinese film review data.

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.