monologg/KoELECTRA-Pipeline
Transformers Pipeline with KoELECTRA
This project helps process Korean text by classifying sentiments, identifying named entities, and answering questions. You provide Korean text or a question with context, and it outputs the sentiment (positive/negative), recognized entities like names and organizations, or the answer to your question. Anyone working with Korean language data, such as market researchers, content analysts, or information retrieval specialists, could use this.
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Use this if you need to quickly perform sentiment analysis, named entity recognition, or question answering on Korean text without deep technical setup.
Not ideal if your primary data is in languages other than Korean, or if you require highly customized natural language processing models.
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40
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6
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 12, 2023
Commits (30d)
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