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manmanluo/amazon-iphone8plus-sentiment-bert
amazon-iphone8plus-sentiment-bert is a text classification model from manmanluo. Use it when you need a label for a piece of text. It is set up for transformers.
This repository contains a fine-tuned BERT model (bert-base-uncased) for binary sentiment classification (positive vs. negative) on Amazon iPhone 8 Plus reviews.
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From the Hugging Face model README
This repository contains a fine-tuned BERT model (bert-base-uncased) for binary
sentiment classification (positive vs. negative) on Amazon iPhone 8 Plus reviews.
The model is fine-tuned using PyTorch and the Hugging Face Transformers library.
The model is trained and evaluated on a curated subset of the Amazon Reviews 2023 dataset (McAuley Lab), restricted to the iPhone 8 Plus product family.
Dataset repository:
Train/validation/test splits are shared across models for controlled comparison. Evaluation results and training details are provided in:
results/bert/training_summary.jsonresults/bert/test_metrics.jsonThe decision threshold is fixed at 0.5.
This model is intended for research and baseline comparison purposes only. It is not optimized for production use.