# koomri/text-segmentation

<https://repo.masters-masters.com/en/repos/koomri/text-segmentation>

[Home](https://repo.masters-masters.com/en) › [koomri](https://repo.masters-masters.com/en/owners/koomri) › [text-segmentation](https://repo.masters-masters.com/en/repos/koomri/text-segmentation)

koomri/text-segmentation has 264 stars on GitHub. Its RepoMasters card: Alpha tier. Implementation of the paper: Text Segmentation as a Supervised Learning Task

| Field | Value |
| --- | --- |
| Owner | [koomri](https://repo.masters-masters.com/en/owners/koomri) |
| Stars | 264 |
| Forks | 56 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Topics | nlp, text-segmentation, deep-learning, neural-network, machine-learning, dataset |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [koomri/text-segmentation](https://github.com/koomri/text-segmentation) |

## Repository

Implementation of the paper: Text Segmentation as a Supervised Learning Task

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## Nearby in Python

- [Gen-Verse/Recuris · ★ 264 · Python · Alpha](https://repo.masters-masters.com/en/repos/Gen-Verse/Recuris)
- [recursive-oss/rec · ★ 264 · Python · Alpha](https://repo.masters-masters.com/en/repos/recursive-oss/rec)
- [mike-vops93s1/Valorant-ESP-Advanced-Player-Visual-Overlay-2026 · ★ 264 · Python · Alpha](https://repo.masters-masters.com/en/repos/mike-vops93s1/Valorant-ESP-Advanced-Player-Visual-Overlay-2026)
- [bartTC/django-memcache-status · ★ 264 · Python · Alpha](https://repo.masters-masters.com/en/repos/bartTC/django-memcache-status)
- [nipy/nitime · ★ 264 · Python · Alpha](https://repo.masters-masters.com/en/repos/nipy/nitime)
- [Flask-FlatPages/Flask-FlatPages · ★ 264 · Python · Alpha](https://repo.masters-masters.com/en/repos/Flask-FlatPages/Flask-FlatPages)

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