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BERT PT Rest

Developed by activebus
A post-trained model based on BERT-base-uncased, optimized for understanding sentiments and options in e-commerce reviews
Downloads 20
Release Time : 3/2/2022

Model Overview

This model is post-trained on Amazon and Yelp review datasets, focusing on sentiment analysis and review comprehension tasks in the e-commerce domain

Model Features

E-commerce domain optimization
Post-trained on Amazon and Yelp review data, particularly suitable for handling e-commerce related content
Multi-task capability
Supports both review reading comprehension and aspect-based sentiment analysis tasks simultaneously
SQuAD enhancement
The BERT-PT series is additionally enhanced with training on the SQuAD 1.1 dataset

Model Capabilities

Sentiment analysis
Review comprehension
Text classification
Natural language understanding

Use Cases

E-commerce
Restaurant review analysis
Analyze restaurant reviews on platforms like Yelp to extract user sentiments and concerns
Demonstrated good performance in NAACL paper
Product review understanding
Understand product reviews on e-commerce platforms like Amazon to identify user opinions on specific product features
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