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Bert Fa Base Uncased Sentiment Digikala
A Transformer-based Persian language understanding model, reconstructed vocabulary and fine-tuned on new Persian corpora to enhance multi-domain application capabilities
Downloads 932
Release Time : 3/2/2022
Model Overview
ParsBERT is a BERT model optimized for Persian, primarily used for text understanding tasks such as sentiment analysis. The model performs excellently on multiple Persian datasets.
Model Features
Optimized Persian Processing
Reconstructed vocabulary and optimized for Persian language characteristics to enhance language understanding capabilities
Multi-domain Applicability
Fine-tuned on new Persian corpora to enhance the model's application capabilities across different domains
High-performance Sentiment Analysis
Outstanding performance on multiple Persian sentiment analysis datasets, with F1 scores exceeding 81%
Model Capabilities
Persian Text Understanding
Sentiment Classification
Multi-category Text Classification
Use Cases
Sentiment Analysis
User Review Sentiment Classification
Analyze user reviews on platforms like Digikala to determine their sentiment orientation
Achieved an F1 score of 81.72 on the Digikala dataset
Multi-category Sentiment Analysis
Supports classifying text into multiple categories such as recommended/not recommended/no opinion
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