# Aspect-level sentiment analysis

This model is a BERT fine-tuned aspect sentiment analysis model capable of classifying emotions related to specific aspects in text. It provides valuable insights for analyzing customer opinions and sentiments toward different features in user-generated content.

This is an aspect-level sentiment analysis model based on the SetFit framework, specifically designed for aspect term identification in restaurant reviews.

ABSA model fine-tuned from Llama-2-7b, excels at identifying aspects in text and analyzing sentiment