# jkwieser/personality-prediction-from-text

<https://repo.masters-masters.com/en/repos/jkwieser/personality-prediction-from-text>

[Home](https://repo.masters-masters.com/en) › [jkwieser](https://repo.masters-masters.com/en/owners/jkwieser) › [personality-prediction-from-text](https://repo.masters-masters.com/en/repos/jkwieser/personality-prediction-from-text)

jkwieser/personality-prediction-from-text has 176 stars on GitHub. Its RepoMasters card: Prototype tier. Predicting big five personality traits from a given…

| Field | Value |
| --- | --- |
| Owner | [jkwieser](https://repo.masters-masters.com/en/owners/jkwieser) |
| Stars | 176 |
| Forks | 55 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [jkwieser/personality-prediction-from-text](https://github.com/jkwieser/personality-prediction-from-text) |

## Repository

Predicting big five personality traits from a given text.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

## Nearby in Jupyter Notebook

- [amrzhd/EEGNet · ★ 176 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/amrzhd/EEGNet)
- [AnyLoc/Revisit-Anything · ★ 176 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/AnyLoc/Revisit-Anything)
- [xiahongchi/DRAWER · ★ 176 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/xiahongchi/DRAWER)
- [jupyter/nbconvert-examples · ★ 176 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/jupyter/nbconvert-examples)
- [scil-sdsc/coursera · ★ 176 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/scil-sdsc/coursera)
- [oarriaga/neural\_image\_captioning · ★ 176 · Jupyter Notebook · Prototype](https://repo.masters-masters.com/en/repos/oarriaga/neural_image_captioning)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
