July 30, 2025Open Access

Advanced Sentiment Analysis and Topic Modeling on E-Commerce Reviews: A Comparison Study Using BERT and RoBERTa on Flipkart and Amazon

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MAIN FINDING: BERT and RoBERTa were evaluated for their effectiveness in sentiment analysis of e-commerce reviews.
KEY EVIDENCE: Fine-tuning led to improved sentiment classification accuracy, revealing nuances in customer opinions.
APPROACH: The study employed BERT and RoBERTa models as well as LDA on their embeddings for topic detection.
SIGNIFICANCE: Insights from the comparative analysis contribute to understanding customer sentiments for better e-commerce strategies.

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Implication

This study compares sentiment analysis using BERT and RoBERTa on e-commerce reviews, indicating the effectiveness of each model in understanding customer sentiments.

Cite This Study

Chauhan et al. (2025) studied this question.

synapsesocial.com/papers/689a0945e6551bb0af8ceff1 https://doi.org/10.20944/preprints202507.2312.v1

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Implication

This study compares sentiment analysis using BERT and RoBERTa on e-commerce reviews, indicating the effectiveness of each model in understanding customer sentiments.

Advanced Sentiment Analysis and Topic Modeling on E-Commerce Reviews: A Comparison Study Using BERT and RoBERTa on Flipkart and Amazon

Key Points

Discussion

Implication

Cite This Study

Advanced Sentiment Analysis and Topic Modeling on E-Commerce Reviews: A Comparison Study Using BERT and RoBERTa on Flipkart and Amazon

Key Points

Discussion

Implication

Cite This Study

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