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Sentiment Analysis of Product Reviews Using BERT

Abstract

A paper fine-tuning BERT for aspect-based sentiment analysis on e-commerce reviews, with ablation studies and error analysis.

Price

₹6,999

Delivery Delivery: 5-7 days
File Claims: 5

Problem

Generic sentiment models miss aspect-level nuances in product reviews, hurting business insights.

Solution

The paper fine-tunes BERT with aspect embeddings and compares against LSTM and SVM baselines on a 50k-review dataset.

Paper Contents

1

Model architecture and training setup

2

Accuracy/F1 comparison tables

3

Ablation study

4

Error analysis with examples

5

Conclusion

What's Included

Full paper (5 pages)
Results tables and charts
Dataset details
Plagiarism report
Conference formatting
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