# MikeWangWZHL/EEG-To-Text

<https://repo.masters-masters.com/en/repos/MikeWangWZHL/EEG-To-Text>

[Home](https://repo.masters-masters.com/en) › [MikeWangWZHL](https://repo.masters-masters.com/en/owners/MikeWangWZHL) › [EEG-To-Text](https://repo.masters-masters.com/en/repos/MikeWangWZHL/EEG-To-Text)

MikeWangWZHL/EEG-To-Text has 229 stars on GitHub. Its RepoMasters card: Prototype tier. code for AAAI2022 paper "Open Vocabulary… Language: Python.

| Field | Value |
| --- | --- |
| Owner | [MikeWangWZHL](https://repo.masters-masters.com/en/owners/MikeWangWZHL) |
| Stars | 229 |
| Forks | 55 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2021 |
| Topics | bart, bert, brain-computer-interface, eeg-classification, eeg-signals, language, language-model, sentiment-analysis |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [MikeWangWZHL/EEG-To-Text](https://github.com/MikeWangWZHL/EEG-To-Text) |

## Repository

code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"

Archived: this repository is read-only

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.