Sentiment Hts5 Hubert Hungarian
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Sentiment Hts5 Hubert Hungarian
Developed by NYTK
This is a Hungarian sentence-level sentiment analysis model fine-tuned from the huBERT pre-trained model, supporting five-level sentiment classification.
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Release Time : 3/2/2022
Model Overview
This model is specifically designed for sentiment analysis of Hungarian text, capable of classifying sentences into five sentiment levels: very negative, negative, neutral, positive, and very positive.
Model Features
Hungarian-specific
Sentiment analysis model optimized specifically for Hungarian language
Five-level sentiment classification
Supports five-level sentiment classification from very negative to very positive
Fine-tuned from huBERT
Fine-tuned using huBERT pre-trained model with superior performance
Model Capabilities
Hungarian text sentiment analysis
Five-level sentiment classification
Use Cases
Social media analysis
Twitter sentiment analysis
Analyze sentiment tendencies in Hungarian Twitter content
Can be used to understand public sentiment and opinion trends
Customer feedback analysis
Product review classification
Automatically classify sentiment tendencies in Hungarian product reviews
Helps businesses quickly understand customer satisfaction
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