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Llama 2 7b Absa

Developed by Orkhan
ABSA model fine-tuned from Llama-2-7b, excels at identifying aspects in text and analyzing sentiment
Downloads 124
Release Time : 8/7/2023

Model Overview

This model is a fine-tuned version of Llama-2-7b, specifically designed for Aspect-Based Sentiment Analysis (ABSA), capable of identifying specific aspects in sentences and determining their sentiment orientation.

Model Features

Domain generalization capability
Performs sentiment analysis without requiring domain-specific labeled data
Multi-element recognition
Simultaneously identifies aspects, opinions, sentiments, and phrase combinations
Efficient fine-tuning
Uses LoRA technology for parameter-efficient fine-tuning

Model Capabilities

Aspect identification
Sentiment analysis
Opinion extraction
Phrase combination generation

Use Cases

Sentiment analysis
Product review analysis
Analyzes sentiment tendencies toward different product aspects in user reviews
Identifies product features mentioned in reviews and their corresponding user sentiments
Social media monitoring
Monitors user feedback on various brand aspects across social media
Extracts discussed brand aspects and their sentiment polarities
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