This project focuses on developing a sentiment analysis system tailored for Persian-language user comments in a food delivery application. By fine-tuning open-source language models, the system evaluates sentiments related to specific food items and overall service quality, eliminating the need for costly APIs.
The goal of this project is to create an efficient sentiment analysis tool for Persian-language reviews in a food delivery context. By fine-tuning lightweight language models, the system accurately extracts sentiments about individual food items and overall customer service, offering a cost-effective alternative to expensive APIs.
- Fine-Tuned Language Models: Customized models for Persian sentiment analysis.
- Cost-Effective Solution: Eliminates the need for expensive APIs.
- Comprehensive Sentiment Extraction: Analyzes sentiments for specific food items and overall service.