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Albert Fa Base V2 Sentiment Multi

Developed by m3hrdadfi
A lightweight BERT model for Persian self-supervised language representation learning
Downloads 39
Release Time : 3/2/2022

Model Overview

ALBERT-Persian is a lightweight BERT model developed for Persian, trained based on Google's ALBERT BASE 2.0 version, covering text data with various writing styles.

Model Features

Lightweight design
Based on ALBERT architecture, more lightweight and efficient compared to standard BERT models
Multi-domain training data
Training data covers various writing styles including science, fiction, news, etc.
Sentiment analysis capability
Specially optimized for Persian sentiment analysis tasks

Model Capabilities

Persian text understanding
Sentiment classification
Self-supervised learning

Use Cases

Sentiment analysis
User comment sentiment classification
Sentiment analysis of user comments on platforms like Digikala, SnappFood, etc.
Achieved 70.72% F1 score on the combined dataset
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