KoELECTRA and korean-hate-speech-koelectra

KoELECTRA
51
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 7/25
Maturity 16/25
Community 17/25
Stars: 630
Forks: 136
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 27
Forks: 8
Downloads:
Commits (30d): 0
Language: Python
License: CC-BY-SA-4.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About KoELECTRA

monologg/KoELECTRA

Pretrained ELECTRA Model for Korean

KoELECTRA provides pre-trained language models specifically designed for understanding Korean text. It takes raw Korean text as input and helps identify meaning, sentiment, or relationships between sentences. This project is ideal for data scientists or researchers who need to analyze and process large volumes of Korean language data efficiently.

Korean-language-processing natural-language-understanding text-analysis machine-learning-research AI-development

About korean-hate-speech-koelectra

monologg/korean-hate-speech-koelectra

Bias, Hate classification with KoELECTRA 👿

This project helps online community managers, content moderators, or social listening analysts identify and filter harmful content in Korean text. You provide Korean comments and titles, and it outputs classifications for whether the text contains bias (gender, other, none) and hate speech (hate, offensive, none). This tool is for anyone responsible for maintaining healthy online discussions or analyzing sentiment in Korean online communities.

content-moderation online-community-management social-listening sentiment-analysis korean-language-processing

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