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Mt5 Large Parsinlu Sentiment Analysis

Developed by persiannlp
This is a Persian sentiment analysis model based on the mT5 architecture, capable of analyzing the emotional tendency of text.
Downloads 75
Release Time : 3/2/2022

Model Overview

This model is specifically designed for Persian text sentiment analysis tasks, capable of identifying emotional tendencies in text, suitable for scenarios such as social media and product reviews.

Model Features

Multilingual Support
Based on the mT5 architecture, specially optimized for Persian language processing
Sentiment Analysis
Capable of accurately identifying emotional tendencies in text
Pre-trained Model
Pre-trained on a large-scale Persian corpus

Model Capabilities

Persian text analysis
Sentiment tendency identification
Emotion classification

Use Cases

Social Media Analysis
User Comment Sentiment Analysis
Analyze the emotional tendencies of users towards products or services on social media
Can identify positive, negative, or neutral emotions
Product Reviews
Product Review Analysis
Analyze the sentiment of product reviews on e-commerce platforms
Helps merchants understand consumer feedback
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