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Persian Text Sentiment Bert V1

Developed by SeyedAli
A Persian text sentiment analysis model fine-tuned based on ParsBERT, achieving 87% accuracy on the evaluation set
Downloads 30
Release Time : 9/7/2023

Model Overview

This model is a BERT model optimized for Persian text sentiment analysis tasks, capable of classifying sentiment tendencies in Persian text

Model Features

Persian Optimization
Optimized specifically for Persian text processing based on ParsBERT architecture
High Accuracy
Achieves 87.16% accuracy on the evaluation set
End-to-End Classification
Can directly input raw Persian text and output sentiment classification results

Model Capabilities

Persian text understanding
Sentiment tendency classification
Text feature extraction

Use Cases

Social Media Analysis
Persian Tweet Sentiment Analysis
Analyze sentiment tendencies in Persian social media content
Can accurately identify positive/negative emotions
Customer Feedback Analysis
Persian Customer Review Classification
Automatically classify Persian user reviews on e-commerce platforms
Helps merchants quickly understand customer satisfaction
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