# BeiCunNan/Sentiment\_Analysis\_Imdb

<https://repo.masters-masters.com/en/repos/BeiCunNan/Sentiment_Analysis_Imdb>

[Home](https://repo.masters-masters.com/en) › [BeiCunNan](https://repo.masters-masters.com/en/owners/BeiCunNan) › [Sentiment\_Analysis\_Imdb](https://repo.masters-masters.com/en/repos/BeiCunNan/Sentiment_Analysis_Imdb)

BeiCunNan/Sentiment\_Analysis\_Imdb has 145 stars on GitHub. Its RepoMasters card: Prototype tier. Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the…

| Field | Value |
| --- | --- |
| Owner | [BeiCunNan](https://repo.masters-masters.com/en/owners/BeiCunNan) |
| Stars | 145 |
| Forks | 17 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2022 |
| Topics | sentiment-analysis, text-classification, bert, imdb, lstm, textcnn |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [BeiCunNan/Sentiment\_Analysis\_Imdb](https://github.com/BeiCunNan/Sentiment_Analysis_Imdb) |

## Repository

Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.

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.