# YJiangcm/SST-2-sentiment-analysis

<https://repo.masters-masters.com/en/repos/YJiangcm/SST-2-sentiment-analysis>

[Home](https://repo.masters-masters.com/en) › [YJiangcm](https://repo.masters-masters.com/en/owners/YJiangcm) › [SST-2-sentiment-analysis](https://repo.masters-masters.com/en/repos/YJiangcm/SST-2-sentiment-analysis)

YJiangcm/SST-2-sentiment-analysis has 112 stars on GitHub. Its RepoMasters card: Prototype tier. Use BiLSTM\_attention, BERT, ALBERT, RoBERTa, XLNet model to…

| Field | Value |
| --- | --- |
| Owner | [YJiangcm](https://repo.masters-masters.com/en/owners/YJiangcm) |
| Stars | 112 |
| Forks | 20 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2020 |
| Topics | pytorch, bert, albert, roberta, xlnet, bilstm-attention, google-colab |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [YJiangcm/SST-2-sentiment-analysis](https://github.com/YJiangcm/SST-2-sentiment-analysis) |

## Repository

Use BiLSTM\_attention, BERT, ALBERT, RoBERTa, XLNet model to classify the SST-2 data set based on pytorch

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.