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Bert Base Swedish Cased Sentiment
B
Bert Base Swedish Cased Sentiment
Developed by marma
This is a Swedish sentiment analysis model based on the BERT architecture, specifically trained on Swedish App Store reviews to accurately identify positive and negative emotions in text.
Downloads 870
Release Time : 3/2/2022
Model Overview
This model is used to analyze the sentiment tendency of Swedish text, primarily applied to sentiment classification tasks for App Store reviews.
Model Features
Swedish language optimization
Specifically trained and optimized for Swedish text
Specialized for App Store reviews
Trained on approximately 20,000 Swedish App Store reviews, suitable for app evaluation analysis
High accuracy
Examples show high classification accuracy for typical emotional expressions
Model Capabilities
Swedish text sentiment analysis
Positive/negative emotion classification
App review analysis
Use Cases
App analysis
App Store review sentiment analysis
Analyze user satisfaction with mobile applications
Can automatically identify positive and negative feedback in user reviews
Market research
Product feedback analysis
Evaluate Swedish users' emotional responses to products
Helps quickly understand users' overall attitude toward products
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