LorenzoAgnolucci/BERT_for_ABSA
In this work (Targeted) Aspect-Based Sentiment Analysis task is converted to a sentence-pair classification task and a pre-trained BERT model is fine-tuned on it.
This project helps sentiment analysis researchers replicate a specific method for targeted aspect-based sentiment analysis. You provide text data with identified aspects, and it outputs sentiment predictions for those aspects. It's designed for data scientists or NLP researchers exploring advanced sentiment analysis techniques.
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Use this if you are an NLP researcher or data scientist looking to implement and fine-tune a BERT-based model for aspect-level sentiment analysis using the sentence-pair classification approach.
Not ideal if you need an out-of-the-box sentiment analysis tool without custom model training or if you are not familiar with BERT and Python-based machine learning workflows.
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Python
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Last pushed
Feb 16, 2021
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