# Persian Sentiment Analysis

A Persian text sentiment analysis model fine-tuned based on ParsBERT, achieving 87% accuracy on the evaluation set

Lightweight BERT model designed for self-supervised learning of Persian language representations

This is a Persian sentiment analysis model based on the mT5 architecture, capable of analyzing the emotional tendency of text.

The Persian ALBERT model is a lightweight BERT for self-supervised learning of Persian language representations

This is a small model based on the mT5 architecture, specifically designed for sentiment analysis tasks in Persian (Farsi) and multilingual contexts.

A Transformer-based Persian language understanding model, with a reconstructed vocabulary and fine-tuned on new Persian corpora, suitable for various Persian NLP tasks.

A Transformer-based Persian language understanding model, reconstructed vocabulary and fine-tuned on new Persian corpora to enhance multi-domain application capabilities

A Transformer-based Persian language understanding model, reconstructed vocabulary and fine-tuned on a new Persian corpus, offering more features.

A Transformer-based Persian language understanding model, with a reconstructed vocabulary and fine-tuned on a new Persian corpus, suitable for various Persian NLP tasks.