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Gpt2 Fa Comment

Developed by HooshvareLab
This model can generate Persian comments based on specified dimensions, supporting multi-dimensional evaluation generation in the food and film domains.
Downloads 26
Release Time : 3/2/2022

Model Overview

A Persian comment generation model fine-tuned based on ParsinLU, capable of automatically generating comment content that meets requirements according to user-specified evaluation dimensions (such as taste, quality, performance, etc.).

Model Features

Multi-dimensional evaluation generation
Supports dozens of evaluation dimension combinations in the food and film domains, allowing precise control over the focus of generated comments.
Sentiment polarity control
Can generate positive, negative, or neutral evaluation content as needed.
Domain adaptation
Specially optimized for food and movie review scenarios, generating content that aligns with domain characteristics.

Model Capabilities

Persian text generation
Sentiment analysis
Multi-dimensional evaluation generation
Domain-specific content generation

Use Cases

E-commerce
Product review generation
Automatically generate diverse product reviews for e-commerce platforms.
Can generate authentic reviews that match product features, covering multiple evaluation dimensions.
Film reviews
Movie review generation
Automatically generate reviews focusing on different aspects of movies (performance, direction, story, etc.).
Can generate professional and diverse film reviews.
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