# ahaque/twitch-troll-detection

<https://repo.masters-masters.com/en/repos/ahaque/twitch-troll-detection>

[Home](https://repo.masters-masters.com/en) › [ahaque](https://repo.masters-masters.com/en/owners/ahaque) › [twitch-troll-detection](https://repo.masters-masters.com/en/repos/ahaque/twitch-troll-detection)

ahaque/twitch-troll-detection has 108 stars on GitHub. Its RepoMasters card: Prototype tier. Unsupervised machine learning methods to detect and classify…

| Field | Value |
| --- | --- |
| Owner | [ahaque](https://repo.masters-masters.com/en/owners/ahaque) |
| Stars | 108 |
| Forks | 19 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2014 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ahaque/twitch-troll-detection](https://github.com/ahaque/twitch-troll-detection) |

## Repository

Unsupervised machine learning methods to detect and classify anomalies in streaming data. We apply this to the viral event, TwitchPlaysPokemon, and attempt to identify trolls in a live IRC chat.

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.