S

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.
Downloads 118
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
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase